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and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Writing
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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, be applied in resource-limited networks due of their complexity and because the management of secret keys is challenging in distributed networks. Physical layer security (PLS) is, on the other hand, a
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We are seeking a creative and motivated neuroscientist to investigate how distributed brain circuits support flexible learning and decision-making. The postholder will join the Adaptive Decisions
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, be applied in resource-limited networks due of their complexity and because the management of secret keys is challenging in distributed networks. Physical layer security (PLS) is, on the other hand, a
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Location: Mansfield Road, Oxford OX1 3QT We are seeking a creative and motivated neuroscientist to investigate how distributed brain circuits support flexible learning and decision-making
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populations. Knowledge of real-time control algorithms for assistive or rehabilitation systems. Experience contributing to patent applications, translational research, or spin-out formation. Downloading a copy
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. Experience conducting or supporting user studies involving patients or vulnerable populations. 4. Knowledge of real-time control algorithms for assistive or rehabilitation systems. 5. Experience
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**AAV vector; • Transfection of endothelial cell-derived extracellular vesicles with **GENE**-mRNA; • In vivo delivery of first vector and evaluation of expression/distribution