49 python-"https:"-"UCL"-"Caltech"-"CIPMM---Systemic-Neurophysiology" positions at Rutgers University
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literature relevant to sea-level projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high
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mixed-methods research, and fostering team-level skills in data science, programming, and reproducible workflows. Experience with advanced analytic tools (e.g., R, Python, SAS, Stata) and translating data
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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humanely managing laboratory mice, mouse survival surgery, and in vivo electrophysiology experiments and analysis. Behavior analysis with DeepLabCut (DLC) and coding in Python. Equipment Utilized Computers
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into technical work action items. Self-motivated and able to work well with minimal supervision or in a team environment. Proficient in object-oriented programming (such as Python, Java). Experience with web
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of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers, The State University of New Jersey is seeking a Data Scientist for University
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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packages, and programming skills in PHP and Python. Physical Demands and Work Environment Special Conditions Clean Driving Record. Posting Details Posting Number 26ST0561 Posting Open Date 03/23/2026 Special
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preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits