12 high-performance-computing-postdoc Fellowship positions at The University of Alabama
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to upload any additional documents to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high-performance computing demonstrated by peer-reviewed publications
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to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high performance computing demonstrated by several peer-reviewed publications. Understanding of polymers
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data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research results. Preferred Qualifications
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, and electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross
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will also be available to contribute to the activities of the U.S. Nodal Office of the Global Land Programme, which serves as a regional node and catalyst for land system science and agrifood systems
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Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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, reinforced concrete structures, computational and solid mechanics,. Preferred Qualifications: Strong analytical skills are beneficial, including but not limited to SEM, TEM, XRD, TGA, FITR, NMR, and ICP-OES
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Postdoctoral position. This position is available to individuals with research interests in computational catalysis and surface science. Initial appointments are for one year, with renewal contingent upon
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track record that focuses on genomics, preferably within neuroscience and performing neurogenetics research and experience using a multi-photon imaging system. Background and research interests in
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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning