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experience of developing own models and tools (assessed at application/interview.) Experience in managing own workload, balancing multiple projects, sticking to deadlines and the ability to constantly update
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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particularly welcome proposals that look to data-mine multiple language sources as a core to the research method. The successful candidate will have academic experience in applying digital methodologies
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, written and verbal, including report writing and delivering presentations [Application form / Interview] Ability to write up research clearly and effectively in multiple forms (e.g. reports, journal
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Work across multiple sites, including at Mettler Toledo Safeline X-ray and the University of Sheffield Carry out other duties, commensurate with the grade and remit of the post Person Specification Our
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biomarker development. SITraN has multiple big data platforms for researchers to explore in multiple neurodegenerative diseases. Objectives of the Integrated Academic Training Programme 1. To obtain a CCST or
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Engineering at the University of Sheffield, where you will develop your research and professional skills alongside multiple researchers focused on CFD and boiling modelling. Confident and reliable estimation
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using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We