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the development of PEF Category Rules (PEFCR) for space. About the host organization The University of Stuttgart was founded 1829. The university covers an interdisciplinary profile with a focus on engineering
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refer to the following link on the project website: https://dynamiken-des-religioesen.uni-frankfurt.de/ausfuehrliche-projektbeschreibung/ Your tasks: Contributing to the development of the digital
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retreats) https://www.hds-lee.de/about/ A qualification that is highly welcome in industry 30 days of annual leave and flexible working arrangements, including partial remote work Further development of your
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
the Fugger lab at the Oxford Centre of Neuroinflammation , focusing on the development of drugs that tame common brain diseases through the application of graph-based neural networks, deep learning, and
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, training and outreach activities of the facility together with technical and specialist support staff. The center has a focus on microscopy method development as well as focused topical biological and
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data
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the development of PEF Category Rules (PEFCR) for space. About the host organization The University of Stuttgart was founded 1829. The university covers an interdisciplinary profile with a focus on engineering
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Chromatography modeling, while crucial for modern bipporcess development, still
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis