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computational systems biology and laboratory science to better treat cancers. You will work independently to lead a project funded by Leukaemia UK, produce high quality academic publications, and share your work
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) to join an interdisciplinary research programme addressing challenges associated with the analysis, monitoring, and improvement of complex engineering systems, with applications in energy and infrastructure
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of cybersecurity, human-computer interaction, communication
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a
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High Performance Computing (HPC). Candidates must have a Masters in any subject and a PhD awarded/in progress, or similar professional or industry qualifications in Digital Humanities/Classics
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the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods of precise genome manipulation and subsequent in vivo phenotyping (e.g. high resolution 4D imaging) and
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part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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(field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil, particularly roots (i.e. rhizosphere collection and root traits). You will have a