119 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in london
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- KINGS COLLEGE LONDON
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research teams led by Prof Knight, and Prof Screen working collaboratively at Queen Mary. The PDRA will interact with a team of academics, PDRAs, and PhD students, working on related organ-chip models, as
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-based workshops; and System Dynamics Modelling, to understand how to maximise the contribution of Nature Based Solutions to climate change adaptation in the UK through multifunctional landscapes in
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single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical
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-based workshops; and System Dynamics Modelling, to understand how to maximise the contribution of Nature Based Solutions to climate change adaptation in the UK through multifunctional landscapes in
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from diverse
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of capsule regulation on host-pathogen interactions at the molecular level The successful candidate will combine cutting-edge microbiological, biochemical, molecular genetics, and comparative genomics-based
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples
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position within a Research Infrastructure? No Offer Description About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering