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real-time monitoring of brain activity for patients diagnosed with glioma. The student will work on computational aspects of the project, designing physics- and data-driven algorithmic solutions
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platform-based design approach by reusing already existing design components (IP cores) and complementing the architecture by specific extensions for the intended optimizations. In the automotive domain
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precise 3D mapping of forest plots. This role includes scanning of designated plots to digitize forest structures, followed by computer-assisted classification of point clouds to identify individual trees
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Geothermal Energy Systems with Reversible ORC Systems, Advanced Control and Novel System Designs) Wir suchen für unser Team ab sofort mehrere Geowissenschaftlerinnen/Geothermikerinnen als Wissenschaftliche/r
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the project “Testing Autonomous Vehicles:” How to design good test cases for cars, how to decide if they are good indeed, how to complement results from testing with proofs and online monitoring? About the
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of the receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of taste and odorant receptors. Area of responsibility includes: Ligand
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, Brain Machine Interfaces, Computational Neuroscience Desired qualifications: Biomedical laboratory experience Experimental design Sensor fusion Machine learning Control system development Biomedical
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23.10.2023, Wissenschaftliches Personal The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim
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developed techniques to the SVEA (Small VEhicles for Autonomy) platform designed for large-scale transportation experiments. The position is full-time (100%) TV-L E13. Qualifications: • A Master’s degree in
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle