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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how
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, computer science, data science, or related fields. The candidates are expected to have a profound knowledge on the majority of the following topics: Machine learning (deep neural networks) Bayesian machine learning
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engineering, economics, psychology, computer science, social data science, machine learning, mathematics, and statistics. As a candidate, you should have a high potential for creative and independent research
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on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We
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(or equivalent) in Biomedical Engineering, or related field Strong skills in cloud computing (Azure) Experience with mobile app development (Android) Experience with cardiovascual sensor technologies Programming
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
data science, bioinformatics, protein design, biochemistry, mass spectrometry, cell biology, molecular biology, genetic engineering, medicine or related fields. The successful candidate will join a
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Nordisk Foundation and led by Associate Professor Mikkel Schmidt (DTU Compute). In LightTrap , we will use AI to accelerate the discovery of new optical materials and that enhance the performance of thin