11 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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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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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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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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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
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electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross-disciplinary AI
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in