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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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(France) will be an important part of the project. What you will deliver: Develop and Implement Multicellular Models: Build and integrate high fidelity interface models in the Chaste framework linking
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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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) 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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(France) will be an important part of the project. What you will deliver: Develop and Implement Multicellular Models: Build and integrate high fidelity interface models in the Chaste framework linking
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of the following areas: Development of novel RF accelerating structures to produce x-rays at the 1-10 MeV scale. This includes both high- or low-power approaches. Development of high-power RF sources with a focus on
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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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benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and