59 humanities "University of Hertfordshire " positions at University of Cambridge in United Kingdom
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Digital Transformation | Permanent, Full-time | £33,000 to £44,000 per annum, depending on skills and experience Nature is declining globally at rates unprecedented in human history. Approximately 1
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International Professorship grant, awarded to support research aimed at exploring and understanding human adaptability in the face of uncertainty induced by complexity. The post-holder will provide administrative
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The Department of Plant Sciences is seeking a part time HR Coordinator. The purpose of the role is to support human resource administration across the Department in order to facilitate an efficient
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, engineering (control and dynamical systems) and neuroscience. The post is attached to Prof. Peter Bossaerts' Leverhulme Trust International Professorship. The research aims at exploring and understanding human
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We are seeking an enthusiastic Research Assistant to undertake cell processing and phenotyping for the Cambridge Human Immunology Platform (CHIP). Working closely with the NIHR Cambridge BRC Cell
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of normative models (specifically human brain charts; Bethlehem, Seidlitz, White et al, 2022, Nature) for patient stratification and prognostication in an ongoing memory clinic cohort with health records linkage
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environment, will be culturally sensitive, and have excellent verbal communication skills. In addition we are looking for candidates with the ability to: Deliver first class face to face customer service; Be
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Neurodegeneration group. A world-renowned centre for research, the MRC MBU is a vibrant community focused on the involvement of mitochondria and their dysfunction in an ever-increasing range of human diseases
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Biomedical Campus and it is a collaborative institute at the interface between fundamental research and the clinic, with a mission to determine the molecular mechanisms of disease in order to advance human
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, implementation and interpretation of projects utilising human genetics data. The role holder will use their strong computational background and experience of using statistical genetics approaches to analyse whole