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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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qualifications and skills: You hold a Doctorate degree (Ph.D.) in data science, bioinformatics, computational biology, genetics, or a closely related field. You have a strong background in machine learning (e.g
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Proficiency in bioinformatics, single-cell omics, or advanced imaging analysis Familiarity with functional readouts (e.g., MEA, calcium imaging, electrophysiology) is a plus Competitive applicants must have
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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through taking on a central role in one of the Center’s ‘Research Platforms’. Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen is
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A
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the Department Molecular Metabolism and Precision Nutrition E-Mail: olga.ramich(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6
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Funded by the German Research Foundation (DFG), Research Unit 5339 "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" was established in 2023 at KIT and the
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 18 days ago
with the IPP-NBI team. Strong collaboration with the NBTF team and related experiments is requested. Your tasks Responsible for operation of the beam diagnostics at the test facilities Analyze
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game