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Field
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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and
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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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vulnerabilities (including to security and privacy) that may be introduced when AI is used to process data from wearable devices such as ‘smart glasses’. The project involves academics from Universities
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February 2025) that has mapped emotional hotspots in cities using spatial analysis of social media data. Our next effort aims to incorporate explainable AI (XAI) to interpret and explain spatial patterns
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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and promote open science and use transparent reporting and data handling practices according to the highest standards. Being responsible for the day-to-day administrative duties and the recruitment
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based