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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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philosophy of science, science and technology studies, conservation science, ecology, or any related field of study. A curious mind-set with a strong interest in practice-oriented philosophy of science
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and analysis of physicochemical and functional properties of biopolymer materials (hydrogels, coatings, microcapsules); using physicochemical and structural analysis techniques (including HPLC, FTIR
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a comprehensive benefits
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work
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Animal Models; The Neural Basis of Sensory Substitution in the Blind; Ocular Structures and Physiology; MR Engineering and Methods Development for the Visual System. MRI experiments will mainly be
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of funds. Relevant Publications: 1. P. Chen et al ., Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nat Commun, 10:1158 (2019). https://doi.org/10.1038/s41467-019-09077-1 . 2
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for behavioural monitoring and stress assessment • Work in an interdisciplinary, collaborative environment with access to advanced infrastructure • Receive structured training in infection biology, animal models