341 parallel-processing-bioinformatics positions at University of Sheffield in United Kingdom
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qualities of real meat, while ensuring sustainable and cost- effective production. This project aims to evaluate key processing technologies—specifically extrusion and food granulation techniques
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(r.fieldsend@sheffield.ac.uk ) Next steps in the recruitment process It is anticipated that the interviews for this position will take place on Monday 11th August 2025. This will consist of an interview and a
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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are established, the primary need lies in scaling these processes and developing robust end-of-life strategies to minimise carbon leakage from the techno-sphere to the atmosphere, biosphere, and hydrosphere
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Race Application Deadline: Applications accepted all year round Details In fusion reactors, materials experience extreme temperatures, stresses, and radiation damage. Safe operation requires
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to accelerate the process of scientific discovery. They have shown promise in chemical and materials science where they can explore vast multi-dimensional parameter spaces which would otherwise be impossible
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cycle and this process is associated with an increased activation of mTOR signalling. Furthermore, we have shown that ECM uptake is, at least in part, mediated by b1 integrin, which internalisation seems
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acid-based processes in human cells, as well as starting points for drugs targeting cancer, viral infection and other human diseases driven by helicase dysfunction. Proposed start date: March 2026 Entry
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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story