618 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Uk
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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, penetration and toxicity of novel metallodrug-coated gold nanoparticles in a 3D-cell culture model of head and neck cancer. This is a highly inter-disciplinary project involving collaboration between Dr Nik
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/models, contribution to and revision of manuscripts, conference presentations (oral and/or poster), and outreach/public engagement (e.g. lab websites, science festivals) * Please note that this is a PhD
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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Secretion System. You will build on our recent work in this area (Nature (2018) 564: 77, Nat Microbiol (2021) 6: 221, Nat Microbiol (2024) 9: 1089, bioRxiv (2025)) by carrying out protein biochemical, cell
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, Oxford, Leeds, Reading, and Birmingham) and international (Utrecht University, ETH Zurich, Université Catholique de Louvain, etc.) scientists to use new modelling resources and methods to elucidate drivers
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo