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, the Munich Quantum Valley, and the Cluster of Excellence Munich Center for Quantum Science and Technology, forming one of the world's leading hubs for quantum research, with many activities to participate in
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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06.09.2021, Academic staff The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is funded by
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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you bring to the table Doctoral degree in electrical engineering, communications engineering, or a closely related field Strong mathematical background with solid expertise in linear algebra
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
power to support the ambitious theoretical, modeling, and data-driven objectives of the proposed work. Job requirements Applicants should hold a PhD in biology, physics, engineering, or a related field
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quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky