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: A small, international team with open communication and flat hierarchies Specializes in machine learning and data mining for plant genomics Committed to interdisciplinary work combining genetics, data
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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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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astronomy, physics, computer science or equivalent degree Solid background in star and planet formation or small bodies of the solar system Experience in hydrodynamics and/or N-body simulations in the star
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 12 days ago
of women in areas in which they are underrepresented. The Max Planck Institute for Nuclear Physics is a family-friendly employer. Further information can be obtained from Prof Jim Hinton . Applicants
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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dynamic, interdisciplinary, and international research community at the TUM Garching campus. TUM’s Department of Mathematics is part of the TUM School of Computation, Information and Technology (CIT
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the Department of Physical Oceanography for the next 4 years (until 31.12.2029) and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in accordance with the Tarifvertrag
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diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. Further information on diversity and equal opportunities: https
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods