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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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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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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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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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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
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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, regulation and programs to achieve their energy goals Direct the design and application of sophisticated analytical methods, and direct analysis of data as required for in-depth evaluation of technical and