650 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in United Kingdom
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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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the UKRI Future Leaders Fellowship “AI-Driven Inference for Gravitational Waves: Accelerating Discoveries in Fundamental Physics” (PI: S Green). We believe that talented and inclusive teams deliver
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. This project will use a range of wildtype, co-morbidity and tumour models to build preliminary data supporting a novel cardiac radio protecting drug, combining functional, histopathological, transcriptomic and
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of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You
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the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in
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This is an exciting opportunity for an experienced, highly motivated individual to join our vibrant, multidisciplinary rare disease research team. This postdoc will work within a multidisciplinary
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the UKRI Future Leaders Fellowship “AI-Driven Inference for Gravitational Waves: Accelerating Discoveries in Fundamental Physics” (PI: S Green). We believe that talented and inclusive teams deliver
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processes to recover the carbon fibre from carbon fibre waste. These carbon fibres can replace virgin carbon fibres with almost no loss in strength and the same electrical, thermal and corrosion- resistant
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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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responsibilities include: Generation of phenotype-specific networks from bulk-RNAseq and scRNAseq data from rare disease patients Building executable models (Boolean, ODE, agent-based or others) from omics data