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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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Experience with machine learning algorithms and ideally experience developing novel methods Understanding of basic biological principles and experience interpreting ‘omics data Ability to analyse information
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project we are seeking highly motivated individuals to join us in the development of digital engineering technologies to accelerate the design of the next generation of gas turbine engines. Successful
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-partner Innovate UK funded project, we are seeking highly motivated individuals to join us in the development of digital engineering technologies to accelerate the design of the next generation of gas
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an a fixed-term contract until 14th September 2026 (with potential to extend and develop a PhD depending on funding and progress) Research staff at King’s are entitled to at least 10 days per year (pro
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. Working as part of a multi-partner Innovate UK funded project we are seeking highly motivated individuals to join us in the development of digital engineering technologies to accelerate the design of
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expertise while gaining the skills you need to achieve your long-term career aspirations through continuous personal development. About the role: Depression affects millions of people worldwide and presents a