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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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About the Role We have an opportunity for a Postdoctoral Research Associate in Machine Learning to join PHURI, within the research team of Dr Joseph Taylor working on improving our understanding and management of anemia, a leading causes of morbidity and mortality globally. The postholder will...
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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About the Role The purpose of this role is to provide qualitative and quantitative research support for a research and impact programme on food reformulation. This role sits within the Research and
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and self-motivated postdoctoral researcher with a strong background in molecular and cellular biology, as well as computational biology. A track record of effective communication, teamwork and
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals