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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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Researcher (R2) Positions Postdoc Positions Country France Application Deadline 1 Aug 2026 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Mar 2026 Is the job
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 5 days ago
CCAMLR meeting: the expiration of Conservation Measure (CM) 51-07, which previously mandated that the maximum allowable catch of 620.000 t be spatially distributed among subareas 48.1 to 48.4. With
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany
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Posted on Thu, 12/04/2025 - 12:13 Important Info Faculty Sponsor First name: Asiri Faculty Sponsor Last Name: Ediriwickrema Stanford Departments and Centers: Medicine, Hematology Postdoc Appointment
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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hydrological processes, such as spatial and temporal variability in infiltration, preferential flow formation, and post-event recovery, remain poorly understood. Most current assessments are based on inflow
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We are looking for a postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience