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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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pathogens. Required knowledge, skills and abilities: Good computer and communication skills. Ability to multi task and work cooperatively with others. Please attach to your completed application: -Resume/CV
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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approaches to legal interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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The Argonne Leadership Computing Facility (ALCF) is dedicated to advancing scientific discoveries and engineering breakthroughs by providing world-class computing facilities in collaboration with
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for postdoctoral researchers focused on the Reprogramming Neuroimmune Responses after Spinal Cord Injury. The prospective candidates will be expected to contribute to our research program where they will have
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-doctoral associate for an NSF-funded project on the social, environmental and linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including 'big data' statistical methods, machine learning, and artificial