260 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" Postdoctoral positions in Germany
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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of Europe) participation in the scientific life of Berlin Application Papers Application forms and further information on the application procedure can be found here . Application Deadline 15 December of each
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(available for download on the following site ). Please complement with your CV, publication list, and recommendation letters. If confidential data exists that would strengthen the proposal, please indicate
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15.11.2025, Wissenschaftliches Personal For the Chair of Advanced Analytics in Manufacturing Management, which is part of the Heilbronn Data Science Center and the TUM School of Management
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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be preferentially selected. In the case of degrees obtained abroad, proof of equivalence with a German degree must be enclosed. For further information, please refer to the website of the Central
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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq