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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
Physics invites applications from talented, ambitious graduating MSc students for a PhD position on Exploring Supernova Remnants in eROSITA and Multiwavelength Data (m/f/d) Job Code: 16/2025 The PhD project
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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of health, prevention and sports offers Contact & Application For further information please contact Prof. Jeroen Krijgsveld via email. Please apply online by sending a cv, cover letter and the names of two
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part of a DFG funded project "Decoupling above- from belowground litter decomposition and impacts on stabilization of soil organic matter with increasing aridity". Drylands cover large areas of the land
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. The position is within the Math+ project "Information Flow & Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and
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, or medicinal chemistry enthusiasm to contribute to and lead cutting-edge research in the fascinating world of glycosciences (should be reflected in cover letter) accurate note-keeping through electronic
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application should include: Cover letter Curriculum vitae Academic transcripts Contact information for two references About LMU Munich LMU researchers work at the highest level on the great questions affecting
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to tackle real-world agricultural challenges. Information about the research group and the IPB can be found on the homepage: www.ipb-halle.de . To ensure optimal training in the diverse skills required
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information ( mariana.schuster at ipb-halle.de ; Phone: +49 (0) 345 5582 1720) Applications must include a cover letter describing research accomplishments and interests, a CV plus publication list, and
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1