23 finite-element-methods-"Multiple" Postdoctoral positions at University of Minnesota
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modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications About the Department The Department of Biomedical Engineering is an academic unit
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to study genetically defined neuron types involved in perceptual function and dysfunction in behaving rodents. Our new GEVIs and imaging approaches (see Kannan, Vasan et al., Nature Methods , 2018; Science
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of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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for recording across multiple cortical/ striatal circuits •Optogenetic and electrical real-time perturbations, including interventions directly related to clinical deep brain stimulation. •Parametric
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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Qualifications: Ph.D. in any of Health Sciences, Social Sciences, Psychology, or Indigenous Health Preferred qualifications: Experience with qualitative, quantitative, and/or mixed methods research methods
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occur on a rolling basis until a candidate is hired. Multiple hires are possible. The successful candidate for this position will work under the supervision of Dr. Theresa Osypuk , Professor