414 machine-learning "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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improving the quality of the resultant analysis. This will also involve the collection of a curated data set, and the use of Machine learning tools to further enhance the analytical process. Together
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with a strong knowledge of current computing practice and be able to teach a range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software
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regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the resolution required for reliable prediction
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and Neumora (https://neumoratx.com ), funded by the Michael J. Fox Foundation, to test novel therapeutics targeting lysosomal function in Parkinson’s disease. The role will use phenotypic analysis
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Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn? About the role We’re looking for a Quality Assurance Administrator to join the Faculty Quality Team
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partners. Collecting and managing acoustic recordings, images, and behavioural data from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning
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in neuroimaging, applied data science and/or machine learning are desirable. Funding & how to apply The scholarship will fund course fees up to the value of home fees*, a tax-free stipend in line with
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R
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, release kinetics under biologically relevant triggers. The successful candidate will work at the interface of organic synthesis, chemical biology, and machine learning to guide linker design and optimise