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a strong computational focus. Applicants with interdisciplinary degrees are welcome. Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one
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(preferably infant or toddler) data Strong written and oral communication skills Strong analysis and programming skills (preferably in R and/or python) Ability to work independently and as part of a team
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Professor Yong Siah Teo · CV and publication links in the group page https://sites.google.com/view/ysteo-academic-matters/home · list of publications in https://scholar.google.com/citations?user
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(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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psycholinguistics or linguistics Proficiency in data analysis and computational tools; strong programming skills (e.g., MATLAB, Python, or equivalent) Ability to lead research projects and collaborate with
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: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . The Fellow will train under the supervision of Institute leadership and faculty mentors
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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URL https://www.uidaho.edu/science/academics/biological-sciences Position Qualifications Required Experience Experience with bacterial and yeast genetics and physiology Extensive experience with
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agencies, investors, pharma companies etc. This role may also provide the opportunity to join a spin-out company as part of the founding team. Learn more about the innovative work here: https
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databases (SQL database development required). - Experience developing and managing Python codebases in git. - Demonstrated capability or familiarity with developing front-end software tools