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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0157-NPP-MAR26-JPL-Astrobio How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Wexner Medical Center. This position focuses on the HeartBrain Axis, investigating how cardiovascular and systemic inflammatory stressors disrupt bloodbrain barrier integrity, promote neuroinflammation
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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acidic peptides and selected post-translationally modified species. The overarching goal is to develop experimentally driven strategies, grounded in gas-phase ion chemistry, that improve peptide and
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encouraged to apply: • Optimization (deterministic, stochastic, robust, reinforcement learning–based) • Systems architecture and design for complex socio-technical systems • Graph theory, network science, and
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of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on
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21 Jan 2026 Job Information Organisation/Company Universitat Pompeu Fabra Department Department of Medicine and Life Sciences Research Field Biological sciences Researcher Profile First Stage
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational