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strategy into technical data specifications for multichannel appeals; build automated data extraction/manipulation processes using JHAS, SQL/SOQL, Tableau, Power BI, Python, and Excel to support 150
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Responsibilities include the following: Conducts research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Assists with data post-processing. Assists in programming using Python
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
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Doctoral School of Social Sciences (VIDSS, https://vds-sosci.univie.ac.at/) , where they can receive support on PhD-related matters and participate in free training sessions. The Department of Demography
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container platform on Google Cloud. Our technology stack is Python, Django, React, Typescript, GitLab, Terraform, and Google Cloud. We use boilerplate solutions and turnkey templates to scale efficiently
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, Competencies, and Experience - Demonstrated experience in research design, validation, and replication. - Proficiency in at least one programming language commonly used in AI and research methods (e.g., Python
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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, capacity planning, student success modeling). Collaborate with a faculty mentor to define project scope, methodology, and deliverables. Build models and perform analysis in Python or R. Prepare clear reports
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
, bibliography, and scientific references are available at the following URL; feel free to consult it: https://chercheurs.lille.inria.fr/ccances/Documents/2026_MATHSOUT_MASTER.pdf Collaboration: The selected
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
research topic: A state of the art, bibliography, and scientific references are available at the following URL—feel free to consult it: https://chercheurs.lille.inria.fr/ccances/Documents