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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Experience Requirements The post-doctoral fellow will have received a PhD, DrPH, MD, or equivalent doctoral degree with experience in environmental health, environmental chemistry, environmental engineering
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licence. Is Your profile described below? Are you our future colleague? Apply now! Education · You hold a PhD in Physics, Biology, Environmental Science, or a related discipline Experience and
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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plan to use these data to identify the virus and make inferences about potential human infection and transmission. This will involve analysis of viral evolution, simulation of potential scenarios and
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, Saadiyat Island, United Arab Emirates [map ] Subject Area: Mathematics Appl Deadline: none (posted 2025/04/08) Position Description: Apply Position Description The Mathematics Program in the Science
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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Nanjing University of Information Science and Technology, School of Mathematics and Statistics Position ID: 2044 -PD [#24422] Position Title: Position Type: Tenured/Tenure-track faculty Position
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical