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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - experience in computer aided design (preferably Autodesk Inventor) - language skills in German and French
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version control - experience in computer aided design (preferably Autodesk Inventor) - German language skills (no minimum level required) - gender and diversity sensitivity Your path
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would be desirable: - practical experience with ultra-cold quantum gases and/or atom interferometry - experience in computer aided design (preferably Autodesk) - programming skills
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computer aided design (preferably Autodesk) - programming skills (preferably with experience in Python) - good knowledge of analog and digital electronics - gender and diversity sensitivity
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) - solid knowledge of high-frequency electronics - extensive knowledge of computer-aided PCB design (Eagle or KiCad) - willingness and ability to work with NASA partners - English language
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Perception Group @ Microsoft Research Cambridge Chris Bishop | Tom Minka Statistical Laboratory Phil Dawid | Richard Samworth | David Spiegelhalter Computer Lab Sean Holden | Carl Henrik Ek | Ferenc
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analysis, ideally using Python-based tools and frameworks, with familiarity in areas such as statistical modelling, machine learning, computer vision, or optimisation approaches for experimental systems