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innovation by giving back to society with our R&D’s results. To actively promote the recruitment of young researchers and research engineers, we will implement a 'New Master's Graduate Track'. NICT will, in
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implement a 'New Graduate Track'. In principle, the costs of obtaining a doctoral degree after joining NICT will be covered by our organization. For those who do not hold a doctoral degree at the time of
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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documents to be submitted for Permanent Researcher Position and Researcher (tenure-track) are the same, but the documents to be submitted for Permanent Research Engineer Position are different. Please be sure
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) * Active involvement in all stages of the research process The ideal candidate will be proficient in STATA and R, have a background in applied statistics/econometrics and causal inference, and be familiar
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algorithms Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical
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complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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expertise to strengthen CTN+ research: · Dr. Shirin Golchi (McGill University) – A biostatistician specializing in adaptive clinical trial design and Bayesian modeling, with experience across multiple
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Harold J. (Hal) McGrady Scholarship Scholarship recognizes a second year graduate student who is in the school based track in communication disorders and has expressed interest in working in