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zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic biologists, neuroscientists, bioinformaticians, and aquaculture specialists to develop
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zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic biologists, neuroscientists, bioinformaticians, and aquaculture specialists to develop
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FEA Simulation and Computational fluid dynamics SLS, SLM, FDM, PBF and DED 3D printing experiment Monitoring and Inspection of AM Optimization and control to improve quality of polymer and metallic
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer
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Are you a researcher looking for your first challenge? Do you have a background in smart grid operation and control? Do you want to further your career in one of the UK’s leading research-intensive
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at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes, with
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)hydrologic models, and produce novel scientific insights regarding hydrologic responses and their controls during climate extremes. Required Department Minimum Qualifications: Ph.D. or other terminal degree in
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focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. This initiative merges advanced computational modeling, AI-driven control
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and advanced control systems. The position is supported by Michigan Translational Research & Commercialization (MTRAC) Advanced Transportation Program, aimed at addressing power quality challenges in