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molecular techniques to study the complex interactions within microbiomes and develop innovative solutions. With a multidisciplinary approach that includes microbiology, genetics, bioinformatics, and
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 11 days ago
to minimize training effort # Devise appropriate metrics to evaluate and tune trained models with respect to reproduction of key physical results # Contribute to a parallel training workflow to stream data from
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and structured project reporting Good knowledge of statistics and bioinformatics Experience with biobanking is an advantage Fluent German and English skills Strong communication and teamwork skills in
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of cloud microphysical processes, with the goal to better understand clouds and their interactions with other Earth system components. Using this framework, we strive for a high degree of process-level
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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10.05.2024, Wissenschaftliches Personal The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines
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/ health applications. Requirements: PhD in one of the following fields (depending on the focus area): Applied mathematics, computer science, engineering, physics Computational biology, bioinformatics
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and