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signals, imagery, and natural language, via adaptive machine learning; 2) Personalization of sequential decision making, biophysical digital twins, and the operation of digital and physical systems; and 3
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stress-induced weight gain” For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may
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, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion
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of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic operations in dynamic and uncertain environments. Depending on the candidate’s
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This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has
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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
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Link https://www.ubjobs.buffalo.edu/postings/63869 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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, [email protected] All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS Please do not send to listed recruitment contact
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pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [(https://www.ucop.edu/academic-personnel-programs/_files/2026-27/represented-oct-2026