1,955 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions in United States
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. Requiree knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively with others. Preferred knowledge, skills and abilities: -Ability to work
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competition for the 2026-2027 Harry Hess Fellows Program. This honorific postdoctoral fellowship program provides opportunities for outstanding geoscientists to work in the field of their choice. Research may
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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research and development projects on virtual power plant and cybersecure distributed control. The candidates will conduct collaborative research with other universities, national labs, utilities, vendors
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for this cohort is the Future of Species Range Shifts. The program will include nine postdoctoral fellows distributed across the country, with one fellow based in each of the nine Regional CASCs . Each postdoctoral
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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simulation models to analyze, predict, and optimize water distribution networks. Engage in state-of-the art research on lithium supply chain dynamics, forecasting potential bottle-necks, and proposing
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, United States of America [map ] Subject Area: Computational Fluid Dynamics and Wave Propagation Appl Deadline: 2025/09/01 11:59PM (posted 2025/08/04, listed until 2025/12/19) Position Description: Apply
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a spatially explicit predictive model for Everglades vegetation dynamics in response to major drivers. The major objectives are to explore the distribution models that discriminate among prairie and