276 cloud-computing-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" Fellowship positions in United States
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and
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the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu Classification Title Postdoctoral Researcher Working Title Simons Postdoctoral Fellow Brief...
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in