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exploration and scale-up analysis. You should possess a PhD in (bio-)chemical engineering, bioengineering or another related field, with extensive experience in the mathematical modelling of biological
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and functional genomic screens to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret
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high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You should possess a PhD in a
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. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under the supervision of Dr Alistair Farley and Professor Chris Schofield. This post is fixed term for 2
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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environment at the University of Oxford. The programme integrates patient stratification using cerebrospinal fluid biomarkers, patient-derived induced pluripotent stem cell (iPSC) models, and pharmacological
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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Grade and salary: Grade 7: £39,424 - £47,779 per annum (Whilst the role is a grade 7 position, we would be willing to consider candidates with potential but less experience who are seeking a
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Applications are invited for a Postdoctoral researcher in convection and aerosol research with satellite based remote sensing. This position, part of the EU Horizon Europe project Clouds and climate
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recruitment as required. About You You will hold a PhD/DPhil in neuroscience or a closely related field, with an experience in collecting neurophysiological data. You will have an established (inter)national