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Field
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
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. This MSc by Research project aims to support these goals by experimentally evaluating advanced adsorption and ion exchange-based strategies for PFAS removal and contributing critical data to inform Anglian
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Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term)
. You will be expected to lead and collaborate in the writing of impactful publications. Due to funding conditions for this post, we are looking for a candidate who is new to the University of Cambridge
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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be able to demonstrate their research experience through contribution to international journal or conference publications. To apply, please send your CV and detailed transcripts of all your previous
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engage in immersive, simulated construction tasks, while wearable sensors monitor their physical effort, emotional states, and cognitive load. Physiological and behavioural data — including eye tracking
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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts by email to