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Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences
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, Midwifery and Social Work, School of Health Sciences, based at The University of Manchester. You will need excellent skills in mixed methods and/or qualitative research methods developed in health or social
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industrial age, to a team building what comes next, the University of Manchester has been redefining what’s possible for nearly 200 years. From splitting the atom to founding the modern computer, our legacy
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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: Generous annual leave allowance, including Christmas/New Year closure Pension scheme membership to provide benefits for you and your family Well-being programme with counselling, fitness and leading sports
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materials science skills development, innovation training and outreach: Providing professional development to empower the next generation of materials researchers and leaders with technical and business
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. This role will support the Edge Compute and Satellite Storage Service, within the Research Platforms Team, within RIT. It is primary focusing on supporting the National X-Ray Computed Tomography (NXCT
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to excellent benefits and schemes including: Generous annual leave allowance, including Christmas/New Year closure Pension scheme membership to provide benefits for you and your family Well-being programme with
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to excellent benefits and schemes including: Generous annual leave allowance, including Christmas/New Year closure Pension scheme membership to provide benefits for you and your family Well-being programme with
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research