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Field
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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paradigms; cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies; advanced heterogenous architectures based on integrated commodity components, special purpose
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, supportive environment that fosters learning and professional growth. Job requirements Hold a PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a closely
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines and at the computing center and contribute to science projects at the interface between AI
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
project partners across marine ecology, fisheries science, data science, Indigenous/local knowledge interfaces, and science-policy processes Your Profile A PhD in natural sciences Strong background in
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Qualifications for Project A To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent, in computational biology, biophysics, mathematical biology
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will act as scientific and technical coordinator of TUNED. Wout Broere is an expert in underground construction, focusing on the geotechnical aspects of (mechanised) tunnelling. Mladena Lukovic is an
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techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer