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| Course title | City | Start date | Credits |
|---|---|---|---|
| AI for advanced scientific and academic writing | Aarhus | May 2027 | 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 advanced scientific and academic writing | Aarhus | September 2027 | 1,6 ECTS |
|
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 advanced scientific and academic writing | Aarhus | October 2027 | 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 advanced scientific and academic writing | Aarhus | April 2027 | 1,6 ECTS |
|
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 advanced scientific and academic writing | Aarhus | May 2027 | 1,6 ECTS |
|
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 advanced scientific and academic writing | Aarhus | September 2027 | 1,6 ECTS |
|
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 research on language learning and use | Aarhus C | - | 1 ECTS |
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Graduate School, Arts at Aarhus University
For more information and registration, pleae visit this website: https://au.phd-courses.dk/CourseCatalog/ShowCourse/2123 |
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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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