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. Qualifications Required Qualifications Ph.D. in either Robotics, Mechanical Engineering or Electrical Engineering with expertise in vehicle dynamics, control systems, estimation algorithms and sensor fusion
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the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities. The successful candidate will conduct advanced research at the intersection of artificial intelligence and
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interactions and mineral dissolution processes at the pore scale under controlled flow and nutrient conditions. The work will involve designing and operating microfluidic porous media devices, cultivating fungal
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; hypothesis testing using the CLM-hillslope model to interrogate hydrological mechanisms that dominate during different seasons and that control seasonal storage and inter-seasonal transfer of water; conducting
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: A recent PhD (or MD) degree in a relevant discipline, such as decision science, health services research, epidemiology, applied mathematics, or industrial engineering. Expected graduation in Spring
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modulating various cognitive and motor behaviors. We also study the mechanisms by which synaptic dysfunction relevant to the controls of basal ganglia circuits occur and how to exploit that knowledge
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to improve food access and literacy. • Test and refine technology applications for dietary tracking, nutritional analysis, or meal planning. • Assist the PI in drafting IRB protocols and standard
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primary focus of the lab is cancer immunotherapy and immune metabolism. Using cutting edge technology, the lab strives to establish the role of checkpoint inhibition and its interplay with metabolic
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Qualifications: •A doctoral degree in a relevant field. "Relevant" is very broad. Scholars from neuroscience, biomedical engineering, psychology, physics, computer science, and many other disciplines have thrived