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| Course title | City | Start date | Credits |
|---|---|---|---|
| Introduction for new PhD students at SUND | November 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 for new PhD students at SUND | December 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 to advanced Bayesian adaptive trials: design an... | November 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 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 bulk RNAseq analysis | October 2026 | 2,4 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 Causal Inference | September 2026 | 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 Complex Systems Approaches in Public Health | April 2027 | 3,1 ECTS | |
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Graduate School of Health and Medical Sciences at University of Copenhagen
Enrolment guidelines This is a specialised course. This means that 80% of the seats are reserved to PhD students enrolled at the Faculty of Health and Medical Sciences at UCPH and 20% of the seats are reserved to PhD students from other Danish Universitie |
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| Introduction to Experiments in Economics and Management | Frederiksberg | September 2026 | 2 ECTS |
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CBS PhD School
Course coordinator: Associate Professor Orsola GarofaloFacultyAssociate Professor Orsola GarofaloDepartment of Strategy and Innovation, CBS Associate Professor Diego ZuninoKTO Research Center, SKEMA Business School, Université Côte d&rsq |
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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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