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electricity cannot benefit from the use of renewable energy sources and nuclear power for decarbonisation. To meet the net zero target by 2050 it is therefore imperative that the use of natural gas is phased
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. In this project, you’ll have the opportunity to be trained and become a proficient user of a range of advanced experimental techniques. For instance, you’ll learn how to use in-situ X-ray Computed
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care and improve outcomes for this devastating disease. Our aim is that the successful candidate will make important discoveries including: Whether patients in UK general practice with possible
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Productive Systems (CRISPS) - University of Plymouth Project Description We are at a pivotal moment in agriculture, where regenerative farming is gaining significant attention in policy and practice
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the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and
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measurements or listening experiments. You will have excellent research skills evidenced by a significant Bachelors/Masters research project, involving experimental research, appropriate use of the literature
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of Europe’s hotspots for Life Sciences, and host 44 research groups, involving around 400 scientists and staff from more than 40 nations. The employment duration is 3 years. Initially limited to 1.5 years
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into the NHS with minimal new resources leading to potential benefits to patient care (quality of life), healthcare resource utilisation (post-discharge consultations and readmissions) and antimicrobial
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ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
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AI approaches have recently been used to detect Alzheimer’s disease from CFPs among those with established disease (in case-control studies), the use of such approaches to predict disease (i.e., in