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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Hold, or be nearing completion of, a PhD in a subject relevant to applied health sciences
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-learning-toolkit) to update and develop the evidence base using systematic reviews and analysis of evidence from meta-analyses as well as single studies of educational interventions and evaluations. The aim
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-doctoral fellowship in person in São Paulo, Brazil. Fluency in English. Basic knowledge of statistics and willingness to learn how to conduct systematic reviews and meta-analyses. Previous experience in
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The Department of Psychology and Human Development brings together staff with research and teaching interests that encompass psychological approaches to learning, development and teaching from early
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applications, equivalent and efficient physics-based AI meta models, and corresponding model predictive control schemes will be validated based on the data collected. The development of the high fidelity models
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, bioinformatics, genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and mobile health. Division faculty are active in a wide
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
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scientific execution of this 24-month project in close collaboration with the principal investigator and an interdisciplinary team of experts in Open Science, meta-research, methodology and dentistry. Your
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processes for manufacturing large area meta-materials. In particular, we will focus on roll-to-roll (R2R) processing methods, which we seek to combine with emerging bottom self-assembly processes and top-down