246 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Germany
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microbiome members (see https://spp2474.de ). More information about ongoing research in the Faber and Vogel labs can be found at www.helmholtz-hiri.de/en/ . PhD applicants should have an equivalent of a
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billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personalabteilung@dkfz.de Website https://jobs.dkfz.de/en/jobs/168142/2-postdoc-positions-in-pancreatic
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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in the Baltic Sea region. For further information see https://peripeties.uni-greifswald.de/ The research project should: Link to one or more of the following research subjects: parties, parliaments
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
throughput sequencing techniques is desired Computer, statistical, and programming skills are advantageous. Advanced communication skills and very profound German or English language skills are required We
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Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent