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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
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Your Tasks Lead analysis of single-cell and pertubation datasets across glioma patien derived models and tumor tissue Integrative analysis of multiomics and pertubation datasets Drive projects
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requires experience in cognitive processes underlying food choice, context effects, experimental research, quantitative analysis, computational modeling, and eye tracking. Applications must be submitted by
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
, survey research, and qualitative analysis. TICA's empirical work is primarily focused on the Middle East and North Africa. Your tasks Conduct quantitative research for the project, including survey design
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 7 days ago
links to the groups of numerical analysis at IGPM and uncertainty quantification at UQ. Some of our PhD students and Postdocs are associated with the research training group Energy, Entropy and
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 6 days ago
communication skills in English Desirable Creativity and breadth with experimental approaches Prior experience with imaging-based behavioral analysis, sequencing-based genetic analysis, and with invertebrate
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create
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The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
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science. The positions focus on machine learning, explainable AI, and cross-study analysis of large public microbiome datasets. Possible research directions include: Prediction of host and ecological