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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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to research funded by the NIHR Health and Social Care Delivery Research (HSDR) to explore how the employment and deployment models of additional roles staff in primary care impact on staff and patient
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device fabrication and modelling or related areas. You will focus on a range of liquid crystal-based technologies and work on the optics, design, fabrication, optimisation, modelling and characterisation
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. The mission of the Flatiron Institute is to advance scientific knowledge through computational methods, including data analysis, theory, modeling, and simulation. It currently houses five centers, focused
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experiments on pore scale and core scale using MRI, but also to provide input for modelling and numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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now’ to complete your details. Please upload a copy of your CV and Cover Letter with the application. Informal enquiries may be addressed to Graham Naylor, graham.naylor@nottingham.ac.uk Please note
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efficiently. c) Integrate planning and control algorithms with differentiable simulation technologies to build a trajectory data collection system that generates high-quality, diverse task data for vision