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The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main
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scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled
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About Us The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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. 5. Familiarity with scientific machine learning and data-driven modelling.
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 16 hours ago
from clinical studies. Learning Objectives: Through this opportunity you will; Establish collaboration framework with FDA internal and external stakeholders for various specific domains including opioids
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research scientists have significant roles in a variety of collaborations and projects, including Learning the Universe, JWST, PRIMA, Rubin, Euclid, Roman[1] , CAMELS, DREAMS, MESA, AstroPy, Dedalus, LIGO
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and machine learning algorithms to analyse and interpret the acquired data. The successful candidate will work primarily with Dr Qimei Zhang in the Department of Engineering at the Nottingham Trent
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 21 hours ago
approaches to understand cancer treatment toxicity and improve patient care. Enthusiasm for learning new methods and collaborating across disciplines. Candidates are not expected to have experience in all