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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 6 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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. 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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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
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Técnico (IST) Duration: 3 months Maximum Duration Including Renewals: 4 months Objectives The main objective of this scholarship is to support the development and application of an optimization model
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Grade Level 41 Salary Range $32,926-52,624/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu
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-learn). Solid understanding of data structures and algorithms. Knowledge of AI governance, model evaluation, and responsible AI principles. Familiarity with University of Illinois systems and services
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of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features
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Department: Computer Languages and Systems Research profile: Model-driven engineering and intelligent and inclusive systems in health and education Position number: DF03222 Area of knowledge: Computer
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-response assays, RNA and whole-genome sequencing, PK/PD modeling, and high-resolution microscopy. This interdisciplinary approach challenges current resistance paradigms and provides clinical guidance