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Field
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programs to perform analysis and produces written reports on results. Collects pilot data to help support new and competing renewal applications. Supervises undergraduate and graduate research students and
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with experience in One Health or climate-health research. Proficiency in systematic reviews, survey methods, and/or causal inference is essential, along with programming skills (e.g., in R or Python
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extensibility. The ideal candidate for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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for Artificial Intelligence. Strong demonstrated programming skills including Python or other similar languages. Ability to work independently, prioritize tasks, and deliver results in a timely manner. Assess and
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, along with excellent oral and written communication skills in English and strong publication preparation skills. About the Department The St. Anthony Falls Laboratory (SAFL) is an interdisciplinary fluid
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Postdoctoral Associate – Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR
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oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in statistics, physics
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Postdoctoral Associate - Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR Future of Work