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Field
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microbiome composition Apply explainable AI methods to identify robust microbial indicators and interpretable ecological patterns Contribute to the analysis of microbial co-occurrence and interaction
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conferences (including presenting your research results) and preparation of scientific publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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30 Jan 2026 Job Information Organisation/Company University of Bayreuth Department Bayerisches Geoinstitut Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD
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the material properties of fiber-reinforced plastic composites, especially when these are reinforced with additional structures. The aim here is to deepen the understanding of the materials and methods involved
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 22 days ago
results in peer-reviewed publications and at international conferences Your Profile PhD in oceanography, marine sciences, physics, geosciences, climate sciences or related field Experience in ocean
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) will engage in molecular methods like metabarcoding and eDNA. Your Tasks Participate in field work campaigns (each covering one week, three in total) within Germany Short-term lab visits (each covering a
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and