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| Course title | City | Start date | Credits |
|---|---|---|---|
| Introduction for new PhD students at SUND | January 2026 | 2 ECTS | |
|
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 for new PhD students at SUND | February 2026 | 2 ECTS | |
|
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 for new PhD students at SUND | February 2026 | 2 ECTS | |
|
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 |
|||
| Introduction for new PhD students at SUND | March 2026 | 2 ECTS | |
|
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 |
|||
| Introduction for new PhD students at SUND | March 2026 | 2 ECTS | |
|
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 |
|||
| Introduction for new PhD students at SUND | December 2025 | 2 ECTS | |
|
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 MATLAB with examples from Health Science | Aarhus | February 2026 | 4,2 ECTS |
|
Graduate School of Health Sciences at Aarhus University
To provide participants with a basic understanding of the programming environment MATLAB. Enable participants to use built-in MATLAB functions and create own scripts and functions for data evaluation and visualization. |
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| Introduction to Academic Practices | Copenhagen K. | January 2026 | 3 ECTS |
|
The Royal Danish Academy, the PhD School
Through this course, students obtain insights in the fundamentals of academic research practices. Particular focus is on crafting a proper academic object, formulating a good problem statement, structuring one’s data collection, and getting a first |
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| Introduction to advanced Bayesian adaptive trials: design an... | December 2025 | 1,2 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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