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16 Mar 2024 Job Information Organisation/Company Karlsruhe Institute of Technology Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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is suitable for part-time employment. Starting date: 19.02.2024 Job description: The Digital Process Engineering (DPE) Group of the Institute of Mechanical Process Engineering and Mechanics
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(a limited liability company) with a non-profit character and one of the largest non-university institutions of its kind in Germany. Information Service Engineering (ISE) at FIZ Karlsruhe investigates
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at the Master's and/or Bachelor’s level courses. Supervision of Master and Bachelor students. Your Skills: M.Sc. or PhD. with background in robotics, mechanical engineering, aerospace engineering, electrical
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Brandenburg University of Technology Cottbus-Senftenberg | Cottbus, Brandenburg | Germany | 2 months ago
21 Feb 2024 Job Information Organisation/Company Brandenburg University of Technology Cottbus-Senftenberg Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) First
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FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur | Eggenstein Leopoldshafen, Baden W rttemberg | Germany | about 1 month ago
character and one of the largest non-university institutions of its kind in Germany. Information Service Engineering (ISE) at FIZ Karlsruhe investigates models and methods for efficient semantic indexing
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, Information and Technology, which provides the potential for many collaborations. TUM Campus Heilbronn is home to students and faculty from more than 50 countries, as the entire curriculum is taught in English
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latencies of slow main memory. As a special variant, we also will consider non-volatile memory (NVM) with its still higher latencies as an increasingly important technology in the automotive domain when short
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preparation. Key responsibilities: Working with brain tissue in collaboration with Neurosurgeons and Neuroanatomists Developing the technology chain and processing pipeline for the Invasive Brain Machine
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address mechanistic questions from multiple perspectives using cell biological, biochemical, immunological, and virological approaches in combination with advanced imaging techniques and protein engineering