64 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Minnesota
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the communication with industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and
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Qualifications Ph.D. in Genetics, Computational Biology, Bioinformatics, Agronomy, Horticulture, or related field in genome analyses Demonstrated experience in population genetics using genome-wide SNP datasets
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communication Critical analysis of the literature, preparing manuscripts, oral presentations and posters. 10% Mentoring Training graduate, undergraduate and technical staff in theoretical and/or bench science
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in Biomedical Engineering • At least 3 Years of research experience in MRI methods development • Experience programming and operating MRI system • Excellent communication – written and verbal Preferred
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experiments. Participate in weekly laboratory meetings. Attend departmental seminars and events. Qualifications Required Qualifications: • PhD in Biological Chemistry or Biological Engineering Discipline
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technologies. This role offers the opportunity to work at the intersection of chemistry, materials science, chemical engineering, and environmental engineering, contributing to the development of sustainable
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finalized. Qualifications Required Ph.D. in Plant Pathology, Plant Microbiology, or Molecular Biology. Strong publication (at least 1-2 research articles in peer-reviewed international journals as the first
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. Note: This is not a position to which permanent residency can be granted for international appointees. Job Duties: (80%) Conduct research on tar spot biology and management on campus and in the field
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, both internal consistency and with experimental results 25% Maintaining familiarity with cutting edge results and methods Reading relevant papers Organizing and participating in the High Energy Journal
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trained in techniques spanning molecular and cellular biology and rodent models of stroke including immunostaining, qPCR, cell culture, RNA sequencing, and cognitive, mood and motor behavior testing in