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scientific work • Programming skills, experience with Linux and high performing computing • Experience in joint experimental-theoretical collaborations We are interested in a diverse research community and
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-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail: Perform scientific
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 12 days ago
SWGO nearby. To support our broad instrumentation and astrophysics programme we are seeking talented post-doctoral researchers to join our team. Potential activities include commissioning and science
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Science, Mechanical Engineering, Materials Physics, or a closely related field A strong academic track record and a solid understanding of the mechanical behavior of materials and materials science Hands
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 9 days ago
. The institutes consist of six scientific departments and several research groups with approximately 350 employees and scientific guests who work together in an international community and are supported
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. Your profile: PhD in synthetic biology, natural product chemistry, microbiology, life science, or a related discipline Extensive experience in synthetic biology and molecular biology techniques
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming