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Applications are invited for a Research Associate in Climate Change and Computational Modelling. This is a postdoctoral-level appointment, but applicants within a few months of submitting their PhD
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Research and Professional Practice Programme, Faculty of Education, seeks to appoint a full-time Research Assistant/Research Associate in Adoption Research, Prevention Science and Quantitative Methods
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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genome sequencing and single-cell approaches, as well as broader data integration across multiple omics data types. The role holder will apply their computational and bioinformatics skills to contribute
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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Overview We are inviting applications for a Research Assistant to support the following project Next-Generation Forest Inventory (NextGen-FI): Open-Set Recognition for Monitoring Illegal Logging (NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne...
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computational methods to extract infection dynamics from individual cells Integrating experimental observations with mathematical and statistical models of phage-host interactions. The successful applicant will
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the design, implementation and interpretation of projects utilising human genetics data. The role holder will use their computational skills and experience of using statistical genetics approaches to analyse
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Overview We are inviting applications for a Research Assistant to support the University of Sheffield’s contribution to the SMART (Secure Motor AI-Responsive Technology) project. The post will contribute to the development and validation of computationally efficient motor-twin models for...