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Field
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You will develop new theoretical methods for quantum sensing with mechanical systems, explore their use in tests of fundamental physics, and help build the research environment of a new theory group
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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-performance computing, bioinformatics or evolutionary theory. Required skills are; commitment to ethical conduct of research, self-motivation and independence, good documentation habits and a track record of
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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, or control theory Proficiency in MATLAB, Python, or equivalent scientific computing tools Strong writing, verbal, and interpersonal communication skills are required Proven ability to work independently and as
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, the oxidation state and the route. Your job is to control these factors, to grow single crystals that would settle various scientific questions, and then to extend the family. Main responsibilities Grow single
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 17 days ago
Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor
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with the European COST Action CA24136 - Interactions between Control Theory and Machine Learning (InterCoML) . Starting Date: Negotiable, with a preference on October 1, 2026. Salary (gross): approx
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related to staff position within a Research Infrastructure? No Offer Description Posdoc position to participate in social psychological research related to the Self-Validation Theory and Sport Psychology
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interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end