67 evolution "https:" "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" Postdoctoral research jobs at University of Minnesota in United States
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. in Food Science with a dairy emphasis or closely related field A minimum 2-year dairy/food industry product development experience Preferred M.S. in Dairy Science, Food Science with a focus on Dairy
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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relevant to psychiatric illness, treatment, and research You can find more information on our website at https://med.umn.edu/psychiatry . Pay and Benefits Pay Range: Salary range is from $63,480 to $77,076
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The postdoctoral associate will serve as a lead researcher in the design, development, and evaluation of vaccine candidates
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
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meetings, workshops, and conferences. Grant and Proposal Development: Contribute to drafting research proposals and funding applications to federal agencies, foundations, and industry partners in order to
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professional development: 35% The incumbent will also engage in training and research development activities, as determined in consultation with a faculty mentor. The postdoctoral associate will work with
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translational breast cancer research. We use cell culture and animal models to examine molecular mechanisms regulating the development and progression of breast cancer with a specific focus on the tumor
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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Role You will develop and apply mathematical models and computational algorithms to analyze the structure and evolution of scientific literature. An ideal candidate would bring deep mathematical maturity