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; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics
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work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
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Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in
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hours per year (based on fulltime); multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; a pension at ABP for which UvA pays two third part of
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multiple disciplinary approaches inclusive of SELEX technologies, bioinformatics, molecular and cell biology, molecular design, DNA nanotechnology, organic synthesis, immunology, and preclinical studies in
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and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime); multiple courses to follow from our Teaching and Learning Centre; a
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or international equivalent, in a subject relating to neuroscience or neural engineering. Further qualifications such as an MRes is advantageous. The candidate must have or be willing to learn computational methods
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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realistic impairments in terms of hardware, propagation environment, and sensing imperfections. AirComp is a novel technique that harnesses the interference in wireless multiple access channels