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applying academic support to students. Knowledge in designing and implementing learning and pedagogical models. Knowledge of how learning skills issues apply to a research institution. Knowledge of academic
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criteria The ideal candidate will hold a PhD in archaeology, specialising in archaeozoology, and potentially be familiar with 3D modelling. Knowledge of the taxa of interest (sheep, goats, alpine ibex
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Assistant (PET specialist) to work in an outstanding scientific environment, at the crossroads between cellular and molecular biology, radiochemistry, imaging physics, biophysical modelling and neuroscience
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Number: 25396 STAFF MENTAL HEALTH GENERALIST 1 (LICSW), MIT Health, provides individual and group counseling to undergraduate and graduate MIT Health patients within a team model. The LICSW will assess
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by Penn State’s Social Science Research Institute. We seek candidates who use cutting-edge methods to advance our understanding of complex social, cognitive, and behavioral phenomena--specifically in
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. Extensive knowledge of statistical methods including multivariate and univariate analysis of large data sets, learning and predictive modeling, network analysis, and probabilistic approaches to test theories
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methodologies, interfaces, and best practices to ensure model reusability and knowledge transfer across teams. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/systemctlm-modeling
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 4 days ago
. Public policies for circular economy in the European Union – aims, results and actions 12. Emerging technologies for circular business models Where to apply Website https://umfst.ro/info-studenti/studii
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of the Medical College's operating budget, as well as creating and maintaining financial models and schedules to assist with the overall budgeting and reporting needs of the department. Job Responsibilities
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, aimed at revolutionizing the way osteoarthritis is understood, diagnosed and treated by developing multimodal patient-relevant endpoints, advanced predictive models, and next-generation clinical trial