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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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                , including obtaining and processing biological samples from patients and research participants, and processing human tissue samples, blood and urine for storage in accordance with tissue bank Standard 
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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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                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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                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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                will rely on mixed methods to identify and investigate how different forms of social and built infrastructure contribute to the decision-making processes and capacities of just transformation actors, and 
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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