612 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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obtaining) a relevant PhD and have expertise in a relevant area of atmospheric science (or a related physical science). You will be able to demonstrate commitment to publication of original results
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investigating separation technology efficiency, and characterisation of separated lithium ion battery fractions, in addition to closing the loop of these material streams through manufacturing efforts and
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Systems Engineering), along with excellent computing and programming skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets
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the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods of precise genome manipulation and subsequent in vivo phenotyping (e.g. high resolution 4D imaging) and
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health and care research. The post holder will work closely with Professor Karen Spilsbury (Healthcare) and Professor Andy Clegg (Leeds Institute of Health Sciences), along with colleagues from
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further
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relevance. About you - You will: • Hold a doctorate in chemical engineering or a similar process-based discipline. • Have experience of creating and optimising chemical process models • Have a track
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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by Professors Pinar Ozcan and Paulo Savaget. The project will investigate how innovation ecosystems can be effectively built and scaled in low-trust, institutionally fragile environments—contexts where