476 systems-science-"https:"-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions in United Kingdom
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rural Hertfordshire. The RVC has a unique, rich heritage of innovation and leadership in veterinary medicine and science. We are passionate about and fully committed to ensuring the health and welfare
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Are you passionate about using geospatial data and place-based analytics to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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? - Information Page The Role and Department The Chemistry department at Durham is one of the very best departments in the UK with an outstanding reputation for excellence in teaching, research and employability
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hours per week, and will be based in the Department of Materials at its Begbroke Science Park site, 5 miles north of Oxford. The Project The post is funded by UKRI - Engineering and Physical Sciences
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of Mechanical, Electrical and Manufacturing Engineering Full Time, Fixed Term until 31 January 2028 This role is not suitable for remote working and is office based only as it is essential that the post holder
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, or soon-to-be-awarded, PhD in cancer biology or a related biomedical field. Previous experience working with organoid culture systems. Experience in molecular biology techniques (flow cytometry, viral
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), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term for 12 months
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(central Oxford), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term
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governing the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While
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prompted by the same environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS