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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn
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electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping of innovative hardware solutions, including harmonic mitigation and thermal
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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communities to ensure that all research results are communicated and adopted by communities and/or government. Lead development, simulation and analysis of the multi-strain model Lead calibration of the model
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: PhD degree before starting the postdoc Experience in molecular and cellular biology, mouse genetics, and omics approaches Hardworking to pursue top-notch scientific investigation How to Apply: Please go
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performance under diverse operating scenarios, including power limitations, ambient environmental conditions, and human-device interactions • Validate simulation models using experimental data or benchmark
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programming languages such as Python, C++, and MATLAB for spacecraft modeling and simulation. Experience with simulation environments and tools used in space research (e.g., GMAT, STK, Gazebo, ROS). Experience
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, body composition by DEXA, energy expenditure of routine exercise, measurement of energy intake, assessments of cognitive function. Expectations: The Postdoc will be expected to complete research projects
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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role in developing our knowledge of the effect of radiation (microbeam +/- FLASH) on fibroblast and myeloid populations in pancreatic and bladder cancer models. About you The successful candidate must