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fixed term contract until 31st March 2030. We are seeking an experienced data and infrastructure specialist to lead the development of a national database supporting UK mental health research capabilities
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and Mathematical Sciences | NTU Singapore We are looking for a Research Fellow to study quantum materials via Machine Learning. The role will focus on develop Machine Learning technique to help DFT
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governing gene regulation in plants and microbes. In this exciting role, you will drive the development of high-throughput biochemical and functional genomics assays, leveraging automation, miniaturization
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statistical modelling, to contribute to an ARC-funded Discovery Project investigating the psychology of how people manage competing demands inside and outside of work. The project develops and tests a novel
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-life complex patterns of health and care for people with cardiovascular disease as well as undertake activities as part of the wider research group including data applications, development of analytical
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aging and age-associated metabolic disorders. Ultimately, the lab’s aim is to mitigate pathogenesis and develop effective treatments for chronic metabolic diseases. The lab has developed unique and
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, computational, experimental approaches and maintains an extensive network of national and international collaborators. The Role This research position develops a new interdisciplinary field at the intersection
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scope for innovation and collaboration. Working closely with the team, you will drive experimental design, develop new methods, analyse large-scale datasets and contribute to publications. You will also
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, with generous funding for research and professional development of the PI (Prof Viktoria Spaiser) and their team. Your fellowship will focus on consolidating results from the first phase of the UKRI FLF
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focuses on using data from a range of characterisation technologies to develop predictive insights into the metallurgical and geoenvironmental behaviour of orebodies. The Senior Research Fellow will further