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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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cells, develop and optimise functional assays, and perform medium- to high-throughput pharmacological screening. Positive candidates will be characterised using concentration–response experiments and
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
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cells, develop and optimise functional assays, and perform medium- to high-throughput pharmacological screening. Positive candidates will be characterised using concentration–response experiments and
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foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand
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with the overall programme. This implies perform and support in vivo work using HCC models induced via hydrodynamic gene transfer. You will be selecting and adapting experimental protocols, analysing and
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prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will