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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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Rolls-Royce, this project will use both experimental and computational aspects to explore the aerodynamic design space for coupled intake/fan configurations that are required to deliver more efficient
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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, phycology, and biosciences. Grade average of B or better both for the programme in total and the master’s thesis Drylab skills in molecular biology including DNA extraction, Qubit quantification Experience
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Course location Gießen Description/content The GGL provides an interdisciplinary, concisely structured graduate programme for all Life Science disciplines at the Justus Liebig University (JLU) in
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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solid background in this field and its specialties, and their research program should be relevant and contribute to the development of the area. The person selected to fill the position is expected
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads