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Field
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, Nuclear Physics, or a related field. Ph.D. candidates nearing completion are also encouraged to apply. Backgrounds in experimental, theoretical, and/or computational research; candidates from all areas will
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Science. The position will begin in August 2025. The position includes teaching courses in the Applied Behavior Analysis and Clinical Science master's program. The teaching load is 24 credit hours to be
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep
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. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
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for education and professional development opportunities. Description Fellowship Activities The U.S. Department of Energy (DOE) Science, Technology, and Policy Program is designed to provide opportunities
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. Who we are The Texas A&M School of Veterinary Medicine & Biomedical Sciences (VMBS) is an institution that represents 100 years of growth from a small school of veterinary medicine in 1916 to its
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Sciences | College Administration Natural and Mathematical Sciences The Post Doctoral Scholar will play a key role in advancing interdisciplinary research in STEM higher education to evaluate student