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and interest. References may be contacted for the candidates who make the shortlist for this position. Applicants must apply online via.: https://puwebp.princeton.edu/AcadHire/position/40241. The review
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research experience, career goals, motivation to join the Hsu lab & potential start date, 2) CV, and 3) contact information of three professional references. Website https://sites.google.com/view/polly-hsu
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interdisciplinary skills spanning biology, ecology, One Health, computer science, and disease ecology. Salary and Benefits: Salary Range: $62,232-$75,000. This position is eligible for benefits. Offers higher than
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, One Health, computer science, and disease ecology. Salary and Benefits: Salary Range: $62,232-$75,000. This position is eligible for benefits. Offers higher than the published salary range might be
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, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans
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research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr/bibliography/public/ Includes a terminal degree (PhD). Prior experience working with Mouse and
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Presenting research at national and international scientific meetings Building interdisciplinary collaborations across biostatistics, epidemiology, computer science, social sciences, clinical medicine, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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- Engineering resides within the College of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Pay Range: $61,008 to $62,838; depending
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teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the field Evidence of strong