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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
with word embeddings, semantic modelling, and/or network analysis Ability to work independently as well as collaboratively in an interdisciplinary environment Excellent written and spoken English
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoctoral Training Position Summary: The Stanford Trauma Systems Data Science
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ATLAS group with a focus on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision
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Description: Apply Position Description The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning Summer 2026. The successful candidate will work with
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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Description: Apply Position Description The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning August 2026. The successful candidate will work with
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from patient tissue samples and mouse models. As part of the role you will write and maintain bioinformatics and AI / ML data analysis pipelines for single-cell and spatial multi-omics data and perform
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, robotics, and industrial systems. Building on recent work in reachset-conformant identification, the project focuses on constructing abstractions whose reachable sets provably overapproximate all observable
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We are looking to fill a post for Postdoctoral Research Associate in ancestral recombination graph (ARG) inference and analysis. The aim is to advance state-of-the-art genealogy-based statistical