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Field
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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project will focus on scaling-up the technology and transferring existing knowledge of this process from the University of Birmingham to Salinity Solutions, where it can be commercialised and accelerate
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the following areas of research: Corruption and Democratic Institutions. E.g: party financing and democratic processes; the effects of global democratic backslide on corruption; corruption and the rise of the far
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publications in the area of chosen interest. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in
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collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique