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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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🚀 Graduate Student Positions Available!The HECS lab (new lab starting in Fall 2025) in the Department of Electrical Engineering and Computer Science (EECS) at University of Arkansas is currently
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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(or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences A good knowledge and practical experience in molecular ecology, population genetics
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, both oral and written Grade average of B or better (or equivalent score) both for the programme in total and the master’s thesis Desired qualifications: Good knowledge about population ecology Good
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optical computing devices that can solve hard combinatorial problems. Such combinatorial problems are commonplace in our society, for instance in logistics, finance or pharmaceutical research. However, for