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, and to understand and inform the emerging international standards framework for cell and pack qualification. Eligibility This studentship is funded through the UK Engineering and Physical Sciences
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View All Vacancies Comparative Biomedical Sciences Location: Camden (King's Cross, London) Salary: £30,191 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59 hours BST
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second-class undergraduate degree with honours in Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are desirable but not essential
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Job id: 091687. Salary: £37,332 - £42,099 per annum, including London Weighting Allowance. Posted: 24 June 2024. Closing date: 30 June 2024. Business unit: Faculty of Life Sciences & Medicine
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relevant bioscience field, be motivated, self-driven and willing to learn new skills. Hands on experience with molecular biology techniques and mammalian cell culture is essential. Technical expertise and
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computer science and/or signal processing, with the knowledge of machine learning and/or some expertise in the areas related to big health data including genomics, imaging data analysis. Preferred skill requirements
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RIBA (Royal Institute of British Architects) are accepting applications for the 2024 RIBA Scott Brownrigg Award for Sustainable Development . Launched in 2022 as a collaboration between RIBA and the architecture practice Scott Brownrigg, the award funds research to address environmental and...
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. Candidates will require a PhD or Master's degree in a relevant subject (e.g., Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Marine Technology) as well as academic
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute