19 postdoctoral-image-processing-in-computer-science-"EPIC" research jobs at University of Manchester
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Overview of the post We wish to appoint an exceptional post-doctoral Research Fellow with research experience in economics, health economics or labour economics to join the Health Organisation
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environments. · Expertise in computer literacy, MS Office packages and electronic databases. · Proven excellence in handling and entering data including an understanding of data protection and confidentiality
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Overview of the post We wish to appoint a post-doctoral Research Fellow with expertise in economics or health economics to join the Health Organisation, Policy and Economics (HOPE) research group
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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. The Nightingale Centre houses the largest breast cancer unit in the UK and the first and largest Family History Risk and Prevention Centre. It is also home to The National Breast Imaging Academy. A large primary
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information that is processed through a machine learning element. The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with
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market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid
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The post holder will support a research programme funded by the Shreeve Foundation investigating the causes of pancreatic cancer risk through the analysis of large-scale molecular and
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civil engineering construction materials, retrofitting, sustainability and related areas. The role will be based in Department of Civil Engineering and Management within School of Engineering at
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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