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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and
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: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers
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animal models to investigate how such changes in cell signaling and electrophysiology may be reverse-engineered for application in the clinic. Techniques we use include patch-clamping, live-cell imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, Competencies, and Experience Preferred research in the area of optimal transport (mathematical theory, computational analysis, machine learning applications), approximation theory, or mathematical models in
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning
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cloning, protein expression, imaging, structural biology, immunology, virology and mouse models is preferred but not required Certifications/Licenses Required Knowledge, Skills, and Abilities Candidates
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theory calculations and machine learning (ML) to model the life- cycle stability in beyond-lithium ion batteries. Job Related Minimum Required Education and Experience Ph.D. in Materials Science, Physics