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Machining and Integration Specialist - Job Number: 251658 Organization : Aerospace & Mechanical Engin. Job Location : Oklahoma-Norman-Norman Campus Schedule : Full-time Work Schedule: Monday
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on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes involved in resistance
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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analysis and machine learning methods for optimisation and decision making, to describe the F&V supply chains for various products at regional UK scale and assess their resilience to cascading risks
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models Must have strong computer skills Able to learn/master UCLA CareConnect software Strong self-management and organizational skills to successfully meet job responsibilities Excellent oral and written
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candidate with expertise in statistical learning and machine learning, both theoretical and computational. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Other
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an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling