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About the Opportunity JOB SUMMARY The Speech Motor Impairment and Learning (SMILe) Lab at Northeastern University, directed by Dr. Kristen Allison, seeks a motivated and highly capable individual to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
Application Deadline 10/26/2026 Position Type Permanent Staff (SHRA) Position Title Electronics Specialist - Journey Salary Grade Equivalent NC09 / GN09 Working Title Motor Drive and Starter Technician
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, Construction, Engineering or a related field and five (5) years of related experience required. Work experience may substitute for education requirement MVR (Motor Vehicle Record): Driving record must meet
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ability to work at various heights on ladder, bucket trucks, etc. This position requires a valid driver’s license and the ability to successfully pass a Motor Vehicle Records (MVR) check. This
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successfully pass a Motor Vehicle Records (MVR) check. This position is Monday - Friday, 6am-2pm, no weekends, holidays, or on-call. Preferred Qualifications: Mechanical, electrical, plumbing and
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Alpes and the University of Savoie Mont-Blanc. https://lpnc.univ-grenoble-alpes.fr/ Team Description: You will be part of the LPNC's "Vision and Emotion" team (UMR 5105; leaders: David Alleysson, CNRS
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motor behavior. Students develop and analyze fundamental motor, fitness and sport skills necessary to model, deliver and assess quality instruction. Students learn best practices in teaching through a
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quantitative movement and behavioural features from both animal models and human participants. Particular emphasis will be placed on identifying translational motor features that can be robustly and
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successful candidate will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI
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-aware, and goal-conditioned representations of human behavior, potentially enriched with textual descriptions, whose outputs will serve as inputs to motor policies based on reinforcement and imitation