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.
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 […]
Description: In many situations, a number of observations are made which contain some information about an underlying phenomenon we are interested in. Examples of this are: The diagnosis of the Parkinson’s disease from a telephone recording, The assessment of bearing wear from vibrational data, The automatic transcription of music, Order tracking analysis of rotating machines, […]
The 6th Nordic Fintech Research Symposium will focus on how academia, fintechs, larger financial institutions and authorities can collaborate on fighting financial fraud with a special focus on Anti Money Laundering (AML) by applying knowledge from state-of-the-art research and advanced industry solutions For the Symposium Copenhagen Fintech has worked with The Department of Computer Science […]
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 […]
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 […]
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. Please read under "Participants". All applicants will be put on the waiting list until enrollment deadline.The course is free of charge for PhD students at Danish universities […]
Objectives of the course: This course is aimed at a growing cohort of postgraduate data scientists and biologists who use automated methods to study insects (and other arthropods) in their research. Participants will be introduced to the state-of-the-art when it comes to automated monitoring of insects, including various modes of image acquisition, their strengths and […]
Welcome to: Big data - from raw data to data integration in clinical research projects Program: Main CSLTM · Biomedicine (B) · Clinical and Pharmacological Medicine (CPM) · Clinical Science, Laboratory and Translational Medicine (CSLTM) Description: Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and […]
The course provides an introduction to more advanced 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.
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 […]
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 […]
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 […]
Welcome to Applications of AI to Modern Data Management Systems Organizer: Professor Torben Bach Pedersen Lecturers: Professor Wolfgang Lehner ECTS: 2 Date/Time: 7-9 October 2024 Deadline: 16 September 2024 Max no. Of participants: 15 Description: The course will cover applications of AI to modern data management systems, including learned indexes, learned optimizers, and other state of the art applications of modern AI […]
Dates and time: 7-8 October 2024, from 9:00 to 17:00, 9 October 2024, from 9:00 to 12:00. Complex, multimodal forms of communication characterize our time. Digital and technological developments place new demands on communication and rhetorical studies and open new avenues for research and reflection. Privately owned platforms, algorithms, and AI are increasingly shaping the communication practices and agency […]
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 […]
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 […]
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 […]
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 aim of the course is to introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
Description: The notion of Artificial Intelligence (AI) dates back approx. 70 years as a research field and even longer if one considers fiction writers. A number of different definitions of AI has been suggested over the years, but none seem to capture what AI is. This might be due to the fact that AI is about computer algorithms that behave intelligently. And since the capabilities of computer algorithms improve […]