81 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at University of Minnesota
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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include: -PhD (or equivalent terminal degree) in relevant discipline, in biological sciences, microbiology, chemical engineering, biomedical engineering, or mechanical engineering -Experience with funded
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regular presentations of scientific data and significant contribution to the preparation of manuscripts. Qualifications Required Qualifications: PhD in Cell Biology or related field Preferred Qualifications
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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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
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MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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Required qualifications: Ph.D. Preferred Qualifications: Prior research experience in molecular biology and laboratory animal handling preferred Essential skills: Good verbal and written communication skills
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Qualifications Required qualifications: Ph.D. Preferred Qualifications: Prior research experience in molecular biology and laboratory animal handling preferred Essential skills: Good verbal and written
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in this field, as well as a PhD. Pay and Benefits Pay Range: $75,000 annually; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more
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maintenance of equipment and coordination of research supplies Qualifications Required: Ph.D. in biomedical, electrical, computing, or mechanical engineering, neuroscience, computational biology, or a closely