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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits Subsidized meals Partial reimbursement
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is an interdisciplinary project aimed at developing a method for studying shelters with schematic paintings by combining archaeology, geomorphology, materials science, planetary science, cognitive
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with excellent academic record, evidence of practical experience of research in primary school contexts/intervention research and knowledge of reading motivation and/or engagement research. Your
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/Administrative Internal Number: 495909 Department: Curriculum & Instruction Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of
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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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of Education (Ref.: 535006), to commence as soon as possible until 31 August 2026, with the possibility of renewal. Applicants should possess (i) a Master’s degree in Psychology, Neuroscience, Cognitive Science
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mathematical experts at RICAM with the goal to investigate influence of variable root growth coordinate with UZH and RICAM documentation of data, analysis scripts and model code, and organize knowledge transfer
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deliver the best we possibly can to the future of Chemical Engineering, Industrial Chemistry and Food Science and Technology. Our passionate academics are eager to share their vast knowledge and experience
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a Focus on Data Science: A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in cognitive science, data science, learning analytics, or a related field