857 programming-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to
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support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence
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and Life 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
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outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in
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microscopy, optogenetics, or in vivo imaging techniques. Experience with electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial
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% Plan and conduct assigned and/or original research projects autonomously while working collaboratively with UM faculty, staff, postdocs and students. Perform basic molecular biology and cell biology
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to