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mesh complexity. Most greedy algorithms utilize local operators [2, 1], or variational approaches [5] or different stages (topology, then geometry) [6], or a larger repertoire of operators [9]. More
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview
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make a difference in the world! Position Information Texas A&M AgriLife Research is seeking an outstanding, innovative, and dynamic individual to fill a 12-month, non-tenure track faculty position
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research is seeking an outstanding, innovative, and dynamic individual to fill a 12-month, non-tenure track faculty
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, executes and reviews sponsored software research project on structural design and optimization, evolutionary and ML methods; works closely and interacts with industry partners to scope out projects and
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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community