570 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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(pro-rota) Work arrangement Full-time Duration As soon as possible – 31/01/2027 Line manager Principal Investigator Direct reports Research Associate Our website https
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for MND which could be translated into the clinic. The idea is to use cutting edge machine learning to create clinically actionable predictions such as the time from diagnosis to requirement for a
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Google applications. Essential Application Ability to learn quickly, to assimilate new information, and apply it to different situations. Essential Application/ Interview Have a proactive approach and an
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Trusts. Lead Supervisor: Dr Christopher Taylor, Senior Lecturer, NIHR Fellow and NHS Consultant Clinical Psychologist: https://sheffield.ac.uk/psychology/people/academic/christopher-dj-taylor https
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accommodation the development of safe, diverse and inclusive communities, where students do not merely live but also learn; where students acquire attributes, knowledge and skills necessary for their general
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that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: By the year 2050, it is estimated that antimicrobial resistance will generate
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areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project
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biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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reports n/a Our website https://sheffield.ac.uk/alumni/welcome-car For informal enquiries about this job contact Paula Gould,Associate Director of Campaign Management: on p.gould@sheffield.ac.uk . Next
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: The highly