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Field
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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continent. Profile: Post-doctoral fellow in Artificial Intelligence - Large Language Models and BDI Systems Ai movement is recruiting a post-doctoral fellow in Artificial Intelligence - Large Language Models
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, therapeutic resistance, and tumor–immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers
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to the design and execution of quantitative analyses (e.g., multilevel modeling, latent profile/class analysis, and propensity score methods); and assisting with the preparation of peer-reviewed manuscripts
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) Positions Postdoc Positions Application Deadline 17 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral work is part of a project funded by the French Civil Aviation
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
postdoctoral research associate. The successful candidate will apply a dynamic global vegetation model (DGVM) to the conterminous USA and the globe, to explore future projections of vegetation conditions under