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| Course title | City | Start date | Credits |
|---|---|---|---|
| Introduction for new PhD students at SUND | December 2025 | 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 for new PhD students at SUND | October 2025 | 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 Academic Practices | Copenhagen K. | January 2026 | 3 ECTS |
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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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| Introduction to Analysis in Qualitative Research | Aarhus C | August 2025 | 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 Causal inference | September 2025 | 2,8 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 good science in environmental and resource e... | Kgs. Lyngby | - | 2,5 ECTS |
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DTU Department of Environmental Engineering
General course objectives:The aim of the course is to introduce PhD-students at DTU Sustain to the research field of environmental and resource engineering and to provide an understanding of the concepts and tools of research and innovation in this field. |
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