114 computer-science-programming-languages-"St"-"ST" positions at Manchester Metropolitan University in United Kingdom
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Solutions programme in collaboration with a wide range of company partners. The department now seeks experienced individuals who have a track record of implementing innovative teaching practices that have had
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About the Role: This is an exciting opportunity to join the Molecular Cell Biology and Mechanisms of Disease Group led by Professor Luminita Paraoan, in the Department of Life Sciences
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Solutions programme in collaboration with a wide range of company partners. The department now seeks experienced individuals who have a track record of implementing innovative teaching practices that have had
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challenging and exciting role. We are seeking to appoint Resource Centre Technician's in our Resource Centre in the Science & Engineering Faculty at Manchester Metropolitan University. The role holder support
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ageing model for use in drug screening in the department of Life Science, at Manchester Met University. This project will involve working with scientists from the Ravan Bio research team. The Role
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-grade undergraduate degree (first class or upper second) in Computer Science or MSc in related field. Skills Knowledge of programming, Computer Science, Computer Vision, Machine Learning, or related
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programme. Day-to-day responsibilities will focus on teaching delivery, student support, assessment, and contributing to curriculum development within the BEng programme. While the post does not involve
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are seeking to appoint Resource Centre Technician's in our Resource Centre in Science & Engineering Faculty at Manchester Metropolitan University. The role holders support duties in laboratories and workshops
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allowance (if applicable) A PhD training programme is part of the agreement. D1: This PhD project will explore innovative strategies to overcome zinc dendrite formation in rechargeable zinc-air batteries
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity