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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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Job Announcement Ref. #11-25012 The Senckenberg Biodiversity and Climate Research Centre (SBiK-F), which is part of the the Senckenberg – Leibniz Institution for Biodiversity and Earth System
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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Start of announcement 01.09.2025 End of announcement 12.10.2025 Institute or department Institute of Coastal System Analysis and Modeling Location Geesthacht Apply now Go to applicant portal
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enhance the capabilities of the instrument we are exploring the implementation of polarization analysis in combination with the high energy resolution the spectrometer provides. Furthermore we support to
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Polymers: The Role of Glass Fibres". Tailored bench-scale fire testing, e.g. UL 94 combined with IR camera and burning scale, and cone calorimeter investigations Thermal analysis (thermogravimetry), thermal
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
"Glacier Geophysics" (d/f/m) Background This position is part of the European Research Council (ERC) Starting Grant (project n. 101076793) PHAST: "A physics-based study of Ice Stream Dynamics" led by Prof
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 months ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute