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| Course title | City | Start date | Credits |
|---|---|---|---|
| AI for advanced scientific and academic writing | Aarhus | November 2026 | 1,6 ECTS |
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Graduate School of Health Sciences at Aarhus University
To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applicat |
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| AI for the People | Aalborg | September 2028 | 2 ECTS |
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Doctoral School of Engineering and Science at Aalborg University
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 over the years, but none seem |
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| AI in Life Science Summer School 2026 | Copenhagen N | August 2026 | 5 ECTS |
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PhD School at the Faculty of SCIENCE at University of Copenhagen
In August 2026, Denmark launches a new international elite summer school for PhD students spotlighting the future of health data and artificial intelligence.Developed collaboratively across Danish universities and anchored at the University of Copenhagen, |
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| Akademisk skrivning i praksis for historikere | Aalborg | February 2026 | 3 ECTS |
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The Doctoral School of Social Sciences and Humanities at Aalborg Universitet
Description:Historiefaget har et særligt forhold til tekst. Vores forskningsresultater formidles igennem flere forskellige slags tekster fra videnskabelige artikler, som følger en fast akademisk skabelon, til populærvidenskabelige b&osl |
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| Algebraic Graph Theory | Kgs. Lyngby | - | 5 ECTS |
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DTU Department of Informatics and Mathematical Modeling
General course objectives:The course will provide students with the mathematical tools for applyingalgebraic techniques to graph theoretic questions. The main focus will be applying linearalgebraic tools to matrices associated to graphs in order to reveal |
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| Algorithms in bioinformatics, PhD | Kgs. Lyngby | - | 5 ECTS |
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DTU Department of Health Technology
General course objectives:To provide the student with an overview and in-depth understanding of bioinformatics machine-learning algorithms. Enable the student to first evaluate which algorithm(s) are best suited for answering a given biological question a |
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| An intro to experimental design and planning of in vivo expe... | October 2026 | 3,5 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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| An Introduction to Genomics in Health Science (20-22/5 2026) | Odense M | May 2026 | 2,7 ECTS |
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Graduate School of Health Sciences at University of Southern Denmark
This 3-day course aims at introducing to biomedical researchers a foundational understanding of genomics, epigenomics and transcriptomics, laboratory techniques, and motivating practical applications in disease and health researches. |
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| An introduction to Good Manufacturing Practice (GMP) | Aarhus | September 2026 | 2,1 ECTS |
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Graduate School of Health Sciences at Aarhus University
The aim of the course is to introduce PhD students at Health, Aarhus University to the basic terms and principles of GMP controlled manufacture of pharmaceutical products. |
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| Analysis of gene expression with DNA array(GL. NAT) | Copenhagen Ø | - | 10 ECTS |
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PhD School at the Faculty of SCIENCE at University of Copenhagen
This is a 2014 course. |
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