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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 10 hours ago
dark matter candidates Develop predictions for multi-wavelength observations Scientific interpretation of results and preparation of scientific publications Requirements PhD in astrophysics / particle
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 8 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
of the rotational and magnetic axes of interacting systems Measure stellar activity characteristics and their predictive power for interaction The transit search, flaring catalog and geometry measurements will
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 12 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of olfactory receptors and to capture the molecular bases of olfactory
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immune responses against rapidly evolving RNA viruses such as influenza viruses and SARS-CoV-2, as well as the development of innovative experimental and data-driven approaches to predict viral evolution
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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about applying deep learning to decode the regulatory grammar of plant genomes and translating predictions into testable biological hypotheses, we invite you to join the Omics Data Analysis and
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observational constraints (e.g. atmospheric or isotopic observations) to improve model predictions; enhancing model capabilities (e.g. nitrogen-constrained methane production); assessing the importance