Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
The Nordic ProbAI summer school aims to deliver a comprehensive curriculum to explore the intricacies of probabilistic machine learning and its real-world applications in bioinformatics and chemistry. The current program includes lectures and hands-on practical sessions provided by leading worldwide experts and researchers in this field. Invited speakers will cover a diverse range of topics, […]
The ProbAI is here to provide an inclusive educational environment that serves state-of-the-art machine learning and artificial intelligence expertise with a probabilistic twist. With a carefully designed curriculum and a seamless blend of theory and hands-on sessions, our expert team of invited lecturers will guide you through five intensive days each dedicated to a different […]
The aim of this meeting in genome editing is to gather word-leading researchers in the field and experts, both from industry and academia, to raise awareness of the important ongoing applications and explore possible coordinated strategies in the important area of genome manipulation
MAPSP is a biennial workshop dedicated to building a community of researchers interested in theoretical and practical aspects of scheduling, planning, and timetabling. The 16th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2024) will be organized at Hotel Koldingfjord, Kolding, Denmark. The impressive 1911 building of Hotel Koldingfjord is located right […]
Welcome to Fundamentals of Clinical Data Science PhD Program: Biomedicine (B) Description: Clinical data science can be defined as the scientific field, which turns healthcare data into clinically useful applications. This course will introduce the disciplines involved in the full value chain of clinical data science, covering the transformation of data to model and to applications, with […]
ContentThis course provides a rigorous and research-oriented introduction to stochastic programming, a mathematical framework for decision-making in the presence of uncertainty. In many real-life problems, important information is unknown to the decision-maker and only distributional information is available. Examples include the scheduling of power generation while demand and renewable production is uncertain, investments in assets […]
Abstract: In this HIDA Lecture, Ute Brönner (SINTEF Ocean, Norway) talks about the enormous potential of digital twins in ocean research. The National Academy of Sciences, Engineering, and Medicine defines a digital twin as a virtual construct that mimics the structure, context, and behaviour of a natural, technical, or social system and is dynamically updated […]
Aim and contentPlease note that to apply, you have to both apply via this site AND send an email. Please see the information on how to apply at the bottom of this page.-----------------Programming (particularly in R) has become an essential tool in biological research, including PhD projects. But biology degrees often do not include an actual […]
3 Week Intensive Summer Course “Information Visualization” Learn how to visualize data from the ground up (visual perception, visual marks and channels, colors) all the way to advanced visualization techniques for multivariate, temporal, geospatial, and network data, as well as their combination in multiple coordinated view setups. The course will feature a mix of lectures, […]
ContentThe field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation and its covariation with other variables. Advances in the statistical treatment of morphometric data, made largely possible by the course instructors, have led to a revolution in GM that can be seen across scientific disciplines, including paleontology, ecology, evolutionary biology, evo-devo, and […]
Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis. Biomedical image analysis […]
The aim of the Ph.D. course is to give a comprehensive introduction to research methods used in the different phases of the innovation process for digital health technologies such as telehealth, home monitoring, mHealth, video consultation, artificial intelligence, clinical robots, etc. Thus, Ph.D. students will during the course learn about relevant research methods and their […]
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
Free, annual event for bachelor’s- and master’s students in data science (or related) study programmes who are curious about doing a PhD in data science. This is your opportunity to spend 24+ hours with like-minded students and a line-up of PhD students, young researchers, and data science professionals ready to share their experiences and advice […]
This Applied AI Lunch Talk focuses on the ethical impacts of AI products and services. You can join online by signing up here: https://stream.aidenmark.dk/applied-ai-lunch-talk-tess/join Or show up at DTU Skylab's Auditorium (Centrifugevej 373D, 2800 Lyngby) About the Talk: AI and tech ethics - Why you should build socially sustainable products and services. In this talk, […]
Empowering You to Be a Mentor & Find Mentorship Are you a junior scientist searching for mentorship guidance? Maybe you are looking for the inspiration and motivation to be a mentor! From the spring through the fall of 2024, the DDEA invites you to tune in to the DDEA Webinar Series on Mentoring and Career […]
This course will introduce you to the methods of small-angle scattering using x-rays and neutrons. The course will have a strong hands-on approach using a mixture of lectures combined with simulations and walked-through analysis examples giving you direct experience with a range of the most common lines of attack for SAS data analysis. We aim to […]
Organiser: Associate Professor Chungen Yin, chy@energy.aau.dk Lecturers: Associate Professor Chungen Yin, AAU Energy, Associate Professor Torsten Berning, AAU Energy Post-Doc Tianbao Gu, AAU Energy ECTS: 4.0 Date/Time: August 19-22, 2024 Deadline: 29 July 2024 Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark Format: in person Max no. of participants: 25 Computational Fluid Dynamics (CFD) has been successfully used for improved understanding, trouble shooting, innovative […]
This is a 2.5 ECTS PhD-course in advanced machine learning under the topic of "Physics meets Machine Learning". The course consists of five days (Monday-Friday, 9 AM - 4 PM) of lectures and exercises. The lectures will cover theoretical and practical aspects of prominent intersections between Physics and Machine Learning. Technical aspects, programming and application […]
A three-day workshop that brings together Danish and international researchers applying machine learning techniques to physics domains, including particle physics, astrophysics and cosmology, climate science, geophysics, molecular physics, quantum physics, condensed matter and biophysics. The program includes keynote speakers from ETH Zurich, Columbia University and DeepMind, fireside chats, research speed-dating, student lightning talks, and a […]
The Danish Bioinformatics Conference, under the umbrella of ELIXIR Denmark, aims to be a dynamic forum for the bioinformatics community, including data scientists, statisticians, software developers, and wet lab scientists. This conference has been an excellent platform to exchange about the latest research and tools development in Danish bioinformatics. Participants have the chance to learn, […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Aim and contentIt is critical for environmental scientists to quantify the major sources and sinks of the most important greenhouse gases (GHGs), CO2, CH4 and N2O, as well as to disentangle the processes involved in GHG production and consumption in terrestrial ecosystems. Such data and knowledge are essential for the development of national and international […]
Course organizer (name, department and research group): MASSHINE Title and date of the course: “Social data science – machine learning in the humanities and social sciences”. 26 – 30 August 2024 Location: Hotel Højgaarden, Slettestrandvej 50, 9690 Fjerritslev Lecturer(s): Associate Professor Roman Jurowetzki (Aalborg University Business School) Associate Professor Rolf Lyneborg Lund (Department of Sociology […]
This course is supported by Danish Data Science Academy (DDSA) Registration: https://phd.moodle.aau.dk/course/view.php?id=2422 Lecturer(s): Associate Professor Roman Jurowetzki (Aalborg University Business School) Associate Professor Rolf Lyneborg Lund (Department of Sociology and Social Work, Aalborg University) Assistant Professor Mathieu Jacomy (Department of Culture and Learning, Aalborg University) Numbers of seats: 21 - We will contact you after […]
Copenhagen Centre for Social Data Science Dates and time: 27-29 August 2024 from 9 am to 4 pm. This course will introduce the basics of big data and machine learning and how it can be used in the context of social science research. No prior knowledge is assumed, and it is well-suited for people with no prior experience […]
Welcome to Data and Machine Learning Operations (DataOps and MLOps) Description: The course will cover central concepts, methods, techniques, and tools within DataOps and MLOps. Topics include Data Augmentation, Labeling, Cleaning, Pre-processing, Quantifying the Data Quality, Lifecycle, machine learning model deployment, ML pipeline orchestration, monitoring and maintenance (via updating with transfer learning OR retraining) in production, […]
The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course is intended for beginners, for those who want to brush-up their Stata skills, and for those with knowledge about statistical models or methods who want to know how to implement them in Stata. It is specifically about using Stata rather than explaining statistical concepts or methods. Disclaimer:DDSA has explicit permission from Arcanic and […]
Empowering You to Be a Mentor & Find Mentorship Are you a junior scientist searching for mentorship guidance? Maybe you are looking for the inspiration and motivation to be a mentor! From the spring through the fall of 2024, the DDEA invites you to tune in to the DDEA Webinar Series on Mentoring and Career […]
Are you an aspiring data scientist eager to learn and grow in your field? Apply now to become a mentee in the DDSA Mentoring Programme for the 2024/25 Edition. This is your opportunity to connect with experienced professionals and gain invaluable insights into the world of data science. Don’t miss the application deadline! Learn more […]
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
The aim of the course is to introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to […]
Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to find important patterns in the data. The possibilities seem almost endless. […]
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Course objectives: The objective of the course is to provide the PhD student with both theoretical and technical knowledge and competences to understand what social network analysis is, what type of network analysis methods are available, and how this method can be used in their context of research and integrate in their PhD theses. The […]
Welcome to Tools for Scientific Software Development and Data Science (2024) The development of eScience and Data Science across research fields means many researchers have to spend a significant amount of time at their computers. As a consequence, we need to ensure that our skill set and toolbox is up to date and that we […]
Generative models and uncertainty quantification lie at the heart of Bayesian modelling and inference. At this small meeting, we discuss recent developments within the field. The workshop is deliberately kept small to ensure the discussions remain honest, lively and interesting. For details, see https://genu.ai/
The participants will through creating a data management plan be introduced to central elements of data management in research projects, workflows, relevant legislation, principles and standards for data documentation and data control, preparing quantitative data for analysis and relevant legislation in relation to management and safekeeping of research data. Disclaimer:DDSA has explicit permission from Arcanic […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read the Graduate School’s cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors (§15.2) with permission to hand in a PhD thesis without prior enrolment at the Graduate […]
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Machine learning has shown promising results in medical image diagnosis, at times with claims of expert-level performance. However, algorithms with high reported performances do not always generalize to real-life settings, leading to incorrect and/or biased diagnoses. Two key datasets-related issues contribute to this challenge: (i) the presence of shortcuts, i.e. spurious correlations between artifacts in […]
Lille Kat is an event aimed at students from all study programmes at ITU who want to solve problems, improve their programming skills, and hang out with friends. The Lille Kat events aim to be fun and challenging for programmers of every skill level. Lille Kat hosts around 5 events every semester at about a […]
The etiology of complex diseases concerns not only the DNA sequence variation of a gene, but most importantly also the functional regulation of the gene triggered by specific environmental stimuli. Epigenetics is a newly emerging field of genetic study that focuses on the dynamic aspects of gene activity regulation under given environmental conditions, a very […]
This September, DDEA invites postdocs to Bornholm, Denmark for our annual Postdoc Summit. Join us to strengthen the endocrinology research community through scientific and professional development at the postdoc level. By gathering both Danish and international postdocs for an immersive week-long event, we will provide you with opportunities to gain a broader scientific perspective on […]
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
Description: Mixed models provide a flexible framework for analyzing data with multiple sources of random variation and they are indispensable in many medical, biological, and engineering applications. When treatments are tested in medical applications, the responses for individuals receiving the same treatment often vary due to unobserved genetic factors and this variation must be taken into […]
Objectives of the course: The course aims to give insight into the basic function of process-based ecosystem models applied to cropping and grassland systems (commonly known as crop models). The course will have special focus on biophysical modelling using the Agricultural Production Systems Model (APSIM). Learning outcomes and competences: At the end of the […]