316 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield in United Kingdom
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applications from motivated biology graduates who share an interest in microbial ecology and evolution and sustainable agriculture. For more information see: https://sites.google.com/sheffield.ac.uk/harrisonlab
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selection of welding parameters and accurate modelling of joints, we will develop procedures to rapidly gather experimental data on laser welding of various materials under different conditions. We will
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Data Analysis; Big Data Analytics
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that allow us to ask new quantitative questions about how biofilm bacteria sense their environment, process information, and regulate their behaviour. Our recent findings highlight the impact of this strategy
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Matt Field and funded by the Academic Forum for the Study of Gambling. The research assistant will provide specialist research support to the project, particularly extracting and coding information
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related field (or have equivalent experience). They will have experience in conducting research and data analysis including on sensitive topics. Based in the School of Allied Health Professions, Pharmacy
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, support and general information to a diverse audience. The role involves working across two customer services reception desks, both at Ranmoor and Endcliffe, as well as managing telephone and email
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annum Work arrangement Full-time Line manager Head of the Academic Programmes Office Direct reports Academic Programmes and Quality Advisers, Curriculum Data Adviser Our website https://sheffield.ac.uk
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-Investigator (Co-I) Design and drive a recruitment campaign to encourage potential participants to sign up Manage all aspects of survey design, distribution, and data collection Monitor survey response rates and
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intelligence (AI) is changing how we understand and improve healthcare. This project will use the latest advances in AI to develop new tools that can learn from many different types of medical information