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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 12 days ago
25 Mar 2026 Job Information Organisation/Company HBIGS Heidelberg Biosciences International Graduate School Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1
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(ideally in Python and C++) Excellent mathematical and data analytics skills Ability to work independently and be self-motivated, but also have excellent teamwork skills Experience in medical image
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skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving skills and interest in mathematical research. Experience with
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Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range of
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Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range of
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, “Generative diffusion models for atmospheric data assimilation” (f/m/d) The position is offered for three years with a start date as soon as possible. The salary is according to class EG 13 TV-L. The fixed-term
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 10 days ago
27 Mar 2026 Job Information Organisation/Company Helmholtz-Zentrum für Infektionsforschung GmbH Department Human Resources Research Field Biological sciences » Biology Researcher Profile First Stage
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completed bachelor's AND master’s degree in chemistry with a focus on analytical or environmental chemistry from a university or comparable institution of higher education is required. Applicants must have a
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into microscopy image analysis and analytical data analysis workflows, together with other team members Build new foundation models for microscopy image analysis Implement AI-based microscopy image analysis
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT