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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21868161/postdoctoral-research-associate Return to Search Results
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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 Higgs and Standard
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
the machine learning community as challenging, high-dimensional testbeds. Notably, the recently developed WOFOSTGym simulator \cite{solow2025wofostgym}, bridging crop modeling and RL, received the Outstanding
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well as contributions on algorithms and hardware architecture [3][4][5], with the aim of implementing a hardware prototype that will constitute the primary mission of the recruited postdoctoral researcher. [2] https
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of American Universities. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/21887481/postdoctoral-associate-x28-mitra-x29 Return to Search Results
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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fluid dynamics. The successful candidate will be expected to work on all or a subset of the above topics, be proficient in working with large data-sets (observational or numerical), machine learning, and
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for documented circumstances such as parental leave, sick leave, or military service. What you will do As a postdoctoral researcher, you will Establish a DORIS data processing and analysis center using the CNES
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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging