13 parallel-computing-numerical-methods research jobs at The University of Alabama in United States
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. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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-of-the-art technologies and methods relevant to the research focus. Strong research background in areas such as shared mobility, transportation planning, transportation safety, responder safety, and
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. Experience with quantitative methods. Experience with supervising students. Published research in the peer-reviewed literature. Background Investigation Statement: Prior to hiring, the final candidate(s) must
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catalyst for interdisciplinary collaboration across the University’s various colleges, uniting engineers, computer scientists, biologists, social scientists, economists, and more to tackle the pressing water
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214241 - Computer Science Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary: The
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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
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Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology