202 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs in Germany
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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To strengthen our team and join our junior faculty, we are looking for a Postdoctoral researcher / Economist (f/m/d) with a focus on projects in the field of the economics of education, in
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collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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interest and motivation for the position (limited to 2000 characters), The email addresses of 2–3 references who can provide a letter of recommendation. For more details about the program (including further
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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conferences in Germany and abroad (incl. presenting your research results) Preparation scientific publications and project reports Co-supervision and support of Master and PhD students Your Profile: Excellent
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in