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U.S. Great Plains region, as evidenced by application material. Previous experience with coupling interdisciplinary models and/or high-performance computing, as evidenced by application material
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts. The department
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Researcher (R1) Country Singapore Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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FUNDS FOR MODERN ECONOMY PROGRAMME 2021–2027 (FENG) “Development of an innovative, high-throughput platform for functional screening of human pancreatic endocrine cells" Project contract number FENG.02.03
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concepts and compositions for high-performance electrolytes for emergent electrochemical device technologies such as redox flow batteries. Next generation energy storage and chemical transformation devices
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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/or high-throughput data processing generated by NGS sequencing, HPLC/MS techniques, or digital phenotyping systems. Familiarity with computational and bioinformatics tools such as R, Python