904 computer-security-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches
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, United States of America [map ] Subject Areas: Engineering / Quantum Science and Engineering Quantum Information Science / Theoretical Quantum Science Appl Deadline: (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed
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. -Supervise part-time student labor to accomplish the research project. -Assist with and contribute to various program managerial activities. -Perform other job related duties as required. Required Education
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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extended periods of time. Ability to travel for field experiments for several days Ability to work in greenhouse Excellent verbal and written communication skills Ability to effectively use personal computer
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The position is part of a new collaboration between Argonne National Laboratory, the University of Notre Dame, and UIUC, supported by the Quantum Information Science Enabled Discovery 2.0 (QuantISED
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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of Education at the University of Oregon that conducts research on teaching and learning in STEM+C education (science, technology, engineering, mathematics, and computing) with an emphasis on creating and
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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data