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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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therapeutics and antimicrobial peptides. The Postdoctoral Researcher will apply computational modeling, structural analysis, and machine learning approaches to support mechanistic studies of cellular signaling
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program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
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Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and generative modeling across heterogeneous
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-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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Deadline 2 Oct 2026 - 23:59 (Europe/Prague) Country Czech Republic Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging