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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 7 hours ago
methods. Ability to compile and analyze data using standard statistical methods. UMass Chan offers strong support and mentoring, a collaborative research environment, a competitive salary with benefits, and
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will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which at least 30 credits must be at the advanced (master's) level. Courses
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, or similar programming languages (or strong skills in another statistics software) Knowledge about the endocannabinoid system, stress responses, post-operative outcomes or psychopharmacology Excellent
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Umeå University, Mathematics and Mathematical Statistics Position ID: 2216 -PHD13 [#26556] Position Title: Position Type: Other Position Location: Umea, Vasterbottens Lan 901 03, Sweden [map
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up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in biomedical science and/or medicine. You will have led
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disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: if you have a strong interest in plant physiology and root biology. if you
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therapeutic targets. The scholarship provides opportunities to apply statistical genetics approaches to dementia research within a collaborative and supportive research environment. Student type Future Students