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: Dynamical Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members
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wind tunnels such a temperature/pressure sensitive paints, infrared thermography, PLIF, FLDI etc. • Proficiency in Python • Experience running simulations with high performance computing (HPC) resources
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of neurodegenerative disease, demyelination, and brain tumors • Perform high-dimensional flow cytometric analysis of immune cell populations in CNS tissues and peripheral compartments • Develop and refine experimental
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kyriakopoulos seeks
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
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principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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and diazotrophs using an ultrahigh performance liquid chromatograph coupled to an Orbitrap high-resolution mass spectrometer. The approach will include non-targeted metabolomics and targeted analysis
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Researcher, you will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. Major
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position: This position is part of ‘SEEDFOOD: Functional and Palatable Plant Seed Storage Proteins for Sustainable Foods’, a Challenge Program project funded by the Novo Nordisk Foundation. SEEDFOOD is a