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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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simulation of complex patient pathways". These are trainee positions that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired
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the context of reproductive ageing. A focus on cellular and molecular biology techniques will be employed using animal models and human tissues. Who you are The successful candidate will enhance the science
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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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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software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and
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management circuits and other related analog/mixed signal ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements Design high power-efficiency RF power
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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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execution of complex experiments or simulations, and mentor junior researchers. Responsibilities Lead and execute research projects related to quantum computation, particularly the generation and control