85 web-programmer-developer-"INSERM" Postdoctoral positions at University of Minnesota in United States
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findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Prepare figures, methods, and manuscripts for publications • Mentor junior trainees and contribute
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: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Nguyen Lab is currently developing small molecule probes, biochemical, cell biological and genetic approaches
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mechanisms of metabolic diseases and cancer; developing novel strategies in biocatalysis and biotechnology; and advancing knowledge through structural biology and molecular biophysics. We organize ourselves
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of every member of our team, from faculty to administrators to technicians. Put simply, all of us are driven to provide the best eye care for our patients, discover new treatments, and educate the next
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the implementation of the IRB approved protocol. • Develop and maintain accurate, complete source documentation and records. • Monitor subject responses to protocol defined treatments/interventions, and schedule
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of research. -Carry out and/or supervise laboratory experiments. -Develop experimental procedures. -Collect and analyze data. Qualifications Required Qualifications: - Ph.D. or an equivalent degree. Preferred
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, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental
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developing a non-invasive magnetic resonance imaging tool to interrogate human brain metabolism using the ultra-high field 10.5 T whole-body human MRI scanner and a novel dynamic deuterium to proton exchange
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning