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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
collaborative skills. The postdoc will interact with both experimentalists and theorists involved with the cross-institutional project Packing Frustration in ABC Starblock Polymers. You will be formally employed
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computational) to evaluate AI-enabled assistive technologies Investigate trust, transparency, and human-AI interaction, including factors influencing user acceptance and sustained adoption Collaborate with
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(IST). The candidates will work with Dr. Azevedo and members of his interdisciplinary team at UCF and collaborate with academic and industry partners. The candidates will work on several NSF and NIH
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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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Part- time 0.5FTE, 2 years fixed term opportunity, Located on the Darlington Campus at the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) Work in a highly collaborative
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, lifestyle, cognitive, metabolic and other biological datasets arising from the cohorts, working closely with collaborators to generate mechanistic insights and high-impact publications. Key responsibilities
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procedural skills. Team player, willing to help and collaborate on other projects. Preferred Qualifications: Experience with, or interest in, learning modeling neural pathways related to deep brain stimulation