52 software-defined-network-phd Postdoctoral positions at University of Minnesota in United States
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Previous Job Job Title Post-Doctoral Associate - Measurement and Manipulation of Developing Cortical Networks Next Job Apply for Job Job ID 370353 Location Twin Cities Job Family Academic Full/Part
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world-class network of partners, including the Minnesota Supercomputer Institute (MSI), the Institute for Health Informatics, and the College of Pharmacy. If you are passionate about translational
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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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, biogeochemistry, and porous media physics. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Preferred Qualifications: Strong background in
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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development, conference attendance, and opportunities to expand the candidate’s research network are also provided. Functions: ● Characterize how interactions between fungi and other organisms, particularly
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, networking, and conference travel. • A competitive salary and benefits package in accordance with institutional and NIH guidelines. Qualifications Required Qualifications: • A PhD, MD, or MD/PhD in Physiology
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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota
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plasticity metrics derived from functional MRI data. Investigate developmental differences in brain functional networks Support generation and testing of improvements for code bases for the analysis
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plasticity metrics derived from functional MRI data. Investigate developmental differences in infant brain functional networks. Support generation and testing of improvements for code bases for the analysis