139 parallel-processing-bioinformatics positions at University of Manchester in United Kingdom
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unique abilities, experiences, and knowledge. To ensure a fair and transparent recruitment process, we strongly advise against relying on AI-generated content, as it may negatively impact your application
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broker to connect our researchers with policy makers and policy influencers, supporting and facilitating the process of knowledge exchange. We work daily with researchers right across the University
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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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may apply stricter criteria to certain nationalities that may be over-represented in Singapore. As part of the offer/nomination process, The University of Manchester will select the most outstanding
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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to metabolic disease. You will play a key role in defining how circadian processes in the liver and other tissues regulate lipid metabolism and mitochondrial function, under both normal and perturbed conditions
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eligibility and academic entry requirements for each of the scholarships, studentships and awards available in the Faculty. Nationality restrictions Application procedure Visit our funding opportunities
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eligibility and academic entry requirements for each of the CDTs available in the Faculty. Nationality restrictions This funding is available to all nationalities. Application procedure Visit our CDTs
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foundation in at least one of the following areas: computer vision, computational imaging, computational biomechanics, applied mathematics and statistical modelling, focusing on algorithm design and clinical
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The project team combines strengths in computational modelling, molecular simulations, experimental catalysis, and process design to achieve high-efficiency conversion of biomass into valuable