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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance Strong programming skills and experience in languages such as C/C++, FORTRAN
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allowance. Generous travel, equipment, and publication funds. Access to NYUAD’s world-class research facilities, including a high-performance computing (HPC) cluster with ~30,000 cores and 34 GPU nodes. Start
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conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud
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technologies. Proficiency in scientific programming (Python, C++, or MATLAB) for detector control, data acquisition, and real-time processing. Familiarity with electron microscopy techniques (STEM, EELS
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. Experience in parallel programming (MPI, GPU, etc.). Proficiency in biostatistical methods. Ability to work independently and in group settings. Ability to learn quickly and apply new analytic techniques. Job
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-08695 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will be carried out
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insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time
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completed within the last 5 years. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred
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allowance. Generous travel, equipment, and publication funds. Access to NYUAD’s world-class research facilities, including a high-performance computing (HPC) cluster with ~30,000 cores and 34 GPU nodes. Start