3,126 computer-science-programming-languages-"Prof"-"Prof" Postdoctoral positions in United States
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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Posting Details Posting Details Logo Institution The University of South Dakota Working Title Postdoctoral Researcher, Biology Posting Number NFE02893P Department USD-Biology Physical Location
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for Computational Sciences, Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). This position offers an exciting opportunity to contribute to research in nuclear theory using
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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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proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience. Knowledge of inverse
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at technical conferences. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, computer science
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teach one course per semester in the Department of Mathematics. Qualifications. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related
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/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and
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, and support proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next