72 coding-"Prof"-"UCL"-"Embry-Riddle-Aeronautical-University"-"Prof" Fellowship positions in United Kingdom
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postdoctoral role under SOC code 2119. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community
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days annual leave per year in addition to public holidays; Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 1 month ago
, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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statistical code Contribute to methodological work around cluster randomised trials Contribute to generating academic publications, and reports Contribute to public understanding of virtual wards, COPD
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/InstituteUniversity of NottinghamCountryUnited KingdomCityNottinghamGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing, validation and verification. Carry out risk assessment, and ensure compliance with work