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coordination with potential clients and evaluation team. Required Qualifications Ph.D. (earned within the last 3 years) in Educational Psychology, Computer Science, Mathematics or Science Education, or other
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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 21 hours ago
: This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program
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proton radiation therapy through cutting-edge computational and AI-driven innovation. This is an exciting opportunity to develop and apply advanced methods in automated treatment planning, artificial
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, Computer Science, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time
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Location: A research opportunity is currently available with the Division of Environmental Health Science and Practice (DEHSP) of the National Center for Environmental Health (NCEH) at the Centers
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available for this position. Candidates must hold unrestricted work rights to be considered for this position. Position Summary The Postdoctoral Fellow (Level A) will contribute to a research program focused
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use in vivo two-photon calcium imaging in mice, alongside behavioural assays and computational modelling, to track how learning-driven changes emerge in these early circuits and how this shapes
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1. PhD in Chemical Engineering, Process Engineering, or a related engineering discipline. 2. Experience in pilot plant engineering, process commissioning, or industrial process operations. 3
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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in a dynamic, translational research environment at theintersection of behavioural science, public health, and digital technologies. Key responsibilities include: Design, refine, and optimise mHealth