10 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship positions at Plymouth University
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. For more information on School of Psychology please visit our dedicated webpage at https://www.plymouth.ac.uk/schools Application Process Please apply online, demonstrating how you meet the essential
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on School of Psychology please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be on site 1 days a week. Although we can accommodate working from home
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and not working in the care of people at the end of their lives https://fundingawards.nihr.ac.uk/award/NIHR167160 About the role The study is led by Associate Professor Susie Pearce at the University
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therapeutic discovery and providing commercial growers sustainable methods to meet increasing global food demand. Responsibilities Apply machine learning techniques, statistical modelling, and chemometric
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or lars.johanning@plymouth.ac.uk For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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global challenges. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools Application Process Please apply online, demonstrating how you
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Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be on site 1 days a week. Although we can accommodate working from home for this role
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on exploring what works and what doesn’t - in the care of people at the end of life. Learn more about the project here: NIHR Award Details. The study is led by Associate Professor Susie Pearce, who will also be
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on exploring what works and what doesn’t - in the care of people at the end of life: Learn more about the project here: NIHR Award Details . The study is led by Associate Professor Susie Pearce, who will also be
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leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave