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.
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 […]
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) […]
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Dates and time: 21, 24, and 31 October + 5, 8, and 12 November 2024 from 9:30 to 15:00 HUM DataLab offers a PhD course that covers basic concepts of inferential statistics. […]
The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R […]
The following elements will be dealt with: -Aspects that are common for most research designs (e.g. research questions, study material, data retrieval, and approach to statistical analysis) -Specific 'needs' for […]
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 […]
Welcome to Human-Centered Artificial Intelligence Organizer: Niels van Berkel Lecturers: Haiyi Zhu ECTS: 3 Date/Time: 4-5-6 November 2024 Deadline: 13 October 2024 Max no. Of participants: 20 Description: Artificial Intelligence has experienced a tremendous increase in attention in […]
To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies, and to enable the participants to choose a relevant statistical analysis of […]
Welcome to Computational Fluid Dynamics (CFD) in Building Ventilation Description: The application of Computational Fluid Dynamics in building ventilation systems is crucial for creating environments that are not only energy - efficient and compliant with regulations but also prioritize occupant […]
Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science […]
Copenhagen Centre for Social Data Science Dates and time: Day 1 – Wednesday, 6 November 2024 – 2:00 pm – 4:30 pm Day 2 – Wednesday, 20 November 2024 – […]
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 […]
Enrolment deadline: October 14 Enrolment requirements: No paper will be required. However, we will need an abstract from every participant before the course starts to get an overview over the topics […]
REDCap is an increasingly popular browser-based database platform for data collection in clinical research. It offers an intuitive user interface for building custom data collection instruments for clinical research projects. […]
Description: Modern laboratory equipment produces huge amounts of experimental data — spectral vectors with hundreds of wavelengths, microarrays, gene expression data, sensors, multi-channel images and many others. Even conventional measurements […]
Welcome to Machine learning in health technology Program: BEN Description: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach […]
Welcome to Self-Supervised Learning Organizer: Zheng-Hua Tan Lecturers: Zheng-Hua Tan ECTS: 2 Date/Time: November 18-20, 2024 Deadline: 28 October 2024 Max no. Of participants: 50 Description: The course gives an introduction to self-supervised learning methods for learning representations […]
Welcome to: Components of causal inference with focus on assumptions and confounding control PhD Programme: Epidemiology & Biostatistics Purpose: You already know that establishing a causal relationship is distinct from observing an association. […]
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 […]