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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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Alzheimer’s and Parkinson’s. You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI
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(or international equivalent) in a relevant science or engineering related discipline.
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the course of your doctoral program Our requirements Solid basic knowledge of cell culture as well as isolation of human primary cells Interest and experience in working with bioreactors, especially organ-on-a
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and
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social sciences embedded in an engineering environment. Your main supervisor will be Senior Researcher Sophie Nyborg, and you will join the PhD School at DTU Wind and Energy Systems. Responsibilities and
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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Job Description The section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), is seeking an outstanding and highly motivated candidate for a PhD