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| Course title | City | Start date | Credits |
|---|---|---|---|
| Introduction for new PhD students at SUND | June 2026 | 2 ECTS | |
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Graduate School of Health and Medical Sciences at University of Copenhagen
Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap |
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| Introduction to advanced Bayesian adaptive trials: design an... | June 2026 | 1,3 ECTS | |
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Graduate School of Health and Medical Sciences at University of Copenhagen
Enrolment guidelines This 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, |
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| Introduction to AI and Machine Learning in Image Segmentatio... | Roskilde | - | 3 ECTS |
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Graduate School of Technical Sciences at Aarhus University
Objectives of the Course:The course aims to provide the PhD students with foundational knowledge and practical skills in using AI and machine learning techniques for image segmentation, with a focus on applications in various fields.Learning Outcomes and |
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| Introduction to Analysis in Qualitative Research - a hands-o... | Aarhus C | August 2026 | 5 ECTS |
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Aarhus BSS Graduate School at Aarhus University
Please see LINK. |
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| Introduction to applied statistics and R for PhD students | Kgs. Lyngby | - | 5 ECTS |
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DTU Department of Informatics and Mathematical Modeling
General course objectives:Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical pa |
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| Introduction to Bayesian inverse problems | Kgs. Lyngby | - | 5 ECTS |
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DTU Department of Informatics and Mathematical Modeling
General course objectives:Bayesian inversion is the technology of characterization and management of randomness in computational models of real-world applications. It blends theories and methods across stochastic analysis, statistical modeling and scienti |
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| Introduction to Classical and Critical Phenomenology | Aarhus C | - | 3,5 ECTS |
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Graduate School, Arts at Aarhus University
For more information and registration, please visit our website: https://au.phd-courses.dk/CourseCatalog/ShowCourse/2018 |
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| Introduction to clinical pharmacological research in psychia... | August 2026 | 0,8 ECTS | |
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Graduate School of Health and Medical Sciences at University of Copenhagen
Enrolment guidelines This 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 cour |
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| Introduction to Computational Systems Microbiology | September 2026 | 3,9 ECTS | |
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Graduate School of Health and Medical Sciences at University of Copenhagen
Enrolment guidelines This 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 cour |
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| Introduction to Digital Humanities and to the Digital Treatm... | Copenhagen S | May 2026 | 4 ECTS |
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PhD School at the Faculty of Humanities at University of Copenhagen
Dates and time: 26 - 29 May 2026 from 9:00 to 16:00Are you passionate about exploring the intersection of digital technologies and the humanities? Join our PhD course ‘An Introduction to Digital Humanities and to the digital treatment of langua |
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