1,143 parallel-computing-numerical-methods Postdoctoral positions in computer-science
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, computational, and analytical methods. In addition, a broader set of learning objectives are associated with training, experience, and skills associated with research careers in a national lab setting. Stipend
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Deadline 30 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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should have experience developing, implementing, or applying computational methods to large-scale biological datasets. Expertise in Python and/or R is expected. Experience with biological data processing
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 3 days ago
the early 2000s. Program Goals The Professional Internship Program is designed to introduce undergraduate students and recent Bachelor's graduates to the challenges of conducting energy research, and enable
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techniques such as metadynamics, UFED, path sampling, milestoning methods; machine learning applications in chemistry and biophysics, good computer programming skills, and working knowledge of UNIX, phyton
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into the occurrence and mobility of the elements in rocks, soil, and water, focusing on methods to prevent or reduce the environmental impact of metal extraction and infrastructure development. Project description
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Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 8/2026/SN Is the Job related to staff position within a Research Infrastructure? No
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group specializes in in situ cryo-ET and development of correaltive tools and workflows (Yang et al. J Struct Biol. 2021, Yang et al. Nat Methods 2023, Yang et al. Nat Protoc. 2025, Yang et al. bioRix
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
and Alzheimer’s disease Key research methods: fMRI (including 7T), MEG, virtual reality (VR), a wide variety of cognitive tasks, psychophysics, machine learning, deep neural networks, and computational
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold