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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Postdoctoral Research Associate in Non-Terrestrial Networks and Edge Computing ( Job Number: 25000480) Department of Engineering Grade 7: - £38,249 - £39,355 per annum Fixed Term - Full Time
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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Posting Details Position Information Fiscal Year 2024-2025 Position Title Postdoctoral Associate, Biomedical Informatics Department Classification Title Postdoctoral Associate Department Biomedical
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to publications and grant writing, and support the supervision of students and junior researchers in one the following research areas: Computational oncology AI drug discovery Statistical genetics, single-cell
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Job Description Apply now Req Id: 34197 Job Title: Post-Doctoral Research Assistant - Computation Fluid Dynamics, CIVS City: Hammond Job Description: Job Summary Purdue University Northwest (PNW
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics