957 engineering-computation-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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Qualifications: Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. Strong proficiency in Python, with additional experience in C, C
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3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with
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of the seven laboratories of U.S. Army Engineer Research and Development Center (USACE-ERDC), which is the Army Corps of Engineers' integrated research and development (R&D) organization. EL provides solutions
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The College of Engineering and Computer Science at Texas A&M University–Corpus Christi (TAMU-CC) invites applications for a Postdoctoral Research Associate to advance the state of the art in safe, efficient
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Food Science & Technology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
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Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials, synthesis, and additive manufacturing. Ames Laboratory is the leader
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multidisciplinary focus on further advancing the science and technology of additive manufacturing (AM). This position will work with faculty across various departments with an interdisciplinary approach to AM
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Job Title Postdoctoral Research Associate Agency Texas A&M University - Corpus Christi Department College of Engineering - ENGR Proposed Minimum Salary Commensurate Job Location Corpus Christi
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced