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.
The workshop is devoted to all aspects of applied and numerical linear algebra, spanning theory, analysis, computation and methods to specific research areas in applications as well as mathematical software. […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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) […]
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, […]
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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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, […]
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. […]
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. […]
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 […]
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 […]