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Field
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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About us: PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities
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their toxicity using sorbent materials. Key responsibilities include: Performing experiments in cell cultures, molecular biology, and animal models. Maintaining routine cultures of living organisms in the lab
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) that is used in the Norwegian Earth System Model (NorESM). In the project, the CLM model will be using the FATES (Functionally-Assembled Terrestrial Ecosystem Simulator) terrestrial ecosystem model and the
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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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the group and consider how they may contribute. The following are active areas of research in MAS for Thermofluids and Materials: Failure and degradation process simulation for transmission components and
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the further development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy
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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 Electronic Health Records from people