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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description We are looking for a PDRA to complete the work
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microenvironmentally induced mechanisms by which glioblastoma cells drive tumour (re)growth. The successful candidate will apply and develop innovative computational strategies to explore these research questions
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computational genomics to understand mechanisms underlying rare human disease with a goal to enhance both diagnosis and treatment. We have a highly collaborative, open-science approach. As part of CRDG, you will
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the Molecular Science Research Hub building in west London. You will work alongside a dynamic team of researchers that span synthetic chemistry and computational modelling. Catalytic hydrogenation processes
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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Fixed Term Job Type Science Full Time / Part Time Full Time Contract Length 2 years (with a possibility of extension) Job Description Overall purpose: Research Programme The Reprogramming and Chromatin
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computational genomics to understand mechanisms underlying rare human disease with a goal to enhance both diagnosis and treatment. We have a highly collaborative, open-science approach. As part of CRDG, you will
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We are seeking to appoint a Postdoctoral Research Scientist in Transcriptomics of iPSC-Derived Neurons to join the newly established Oxford-GSK Institute for Molecular & Computational Medicine (IMCM
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of the project team. Key Skills & Experiences This project will require previous expertise in computational mechanics (preferably finite element methods – with analysis being undertaken in open-source code MoFEM
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD