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Engineering (AME), and in collaboration with the Aerospace Center (AC), Keck Center for 3D Innovation, and Department of Industrial, Manufacturing, and Systems Engineering (IMSE), this position is a cornerstone
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of Tennessee-Oak Ridge Innovation Institute (UT-ORII) is inviting applications for a non-tenure track research faculty position in biodegradation of bio-derived materials. We are looking for an innovative and
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professionals, and trainees across institutions to design, coordinate, and implement federally funded population health and outcomes research using real-world data (RWD), including electronic health records (EHRs
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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in peer‑reviewed journals, present at scientific meetings, assist with grant preparation, and independently pursue external funding. Core responsibilities Research: Design, execute, and troubleshoot
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required. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. M.B.B.S., Sc.D., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Maintain
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 4 hours ago
: 1) strong self-motivation, 2) first author publications in peer-reviewed scholarly journals, 3) ability to collaborate within and outside the laboratory, 4) ability to plan, organize and meet
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from