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document that you are particularly suitable for a PhD education You must meet the requirements for admission to the PhD programme in Medicine and Health Sciences Good oral and written presentation skills in
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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relevant background within structural engineering, mechanical engineering, or computational engineering (or a closely related field). You must have a Master's degree in structural engineering, mechanical
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ecology with an emphasis on conservation biology. Your immediate leader will be the Head of Department. About the project The team of supervisors will consist of Ass. Prof. Kristine Bakke Westergaard (main
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drugs. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a
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the group of Ass.-Prof. Dr. Matthias Kempe , Head of Data Analytics in Sport at the Biomechanics, Kinesiology and Computer Science in Sport unit of the Department of Sport and Human Movement Science
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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-creation of energy transition of energy policies led by Prof. Christian A. Klöckner. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us
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for the Department of Engineering Management. Profile You hold a Master degree in operations research, computer science, or similar; or you will have obtained it by the time you start to work. You can demonstrate
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qualifications stated above and the following general criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact