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Field
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, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM field. Prior working experience with EHR data, machine learning, deep learning
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the High Flux Isotope Reactor (HFIR) and the Radiochemical Engineering Development Center (REDC), as you help guide the strategic growth of our isotope production enterprise. This position will primarily
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[map ] Appl Deadline: (posted 2024/10/30, listed until 2025/10/28) Position Description: Apply Position Description The Beijing International Center for Mathematical Research (BICMR) at Peking University
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Ph.D. (or have successfully defended their dissertation prior to the start date) with a background in transportation (not necessarily from Civil Engineering). A background in applied mathematics and/or
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recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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, developed new research areas, and in January 2021 moved into a brand new purpose built building with our colleagues in Mathematics. We are a relatively young and vibrant department – where inclusivity and
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description above on how to apply. Contact: Ms. Shirly Shachar Email: Postal Mail: Department of Mathematics Ben Gurion University of the Negev P.O.B. 653 Be'er Sheva 8410501 ISRAEL Web Page: http
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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native