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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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in different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science approaches. Postdoctoral researchers are given the opportunity
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demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data for economy-wide energy system decarbonization models, in the production of spatially
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. This work will involve: i) contributing to design and run new Large Eddy Simulation experiments; ii) and analyzing the LES output to generate training data; iii) using Machine Learning techniques to learn
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine
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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will