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are looking for a strong researcher able to conduct research around formal methods for autonomous robotic systems, with a background of excellent research outputs across formal requirements and formal
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We are seeking a highly motivated and experienced Research Associate (PDRA) to join a multidisciplinary team to evaluate a digital health service technological intervention using mixed methods
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medicine studies to uncover how pollutants and infections interact with our genes to cause and exacerbate chronic inflammatory diseases. The post-holder will be responsible for applying computational methods
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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are recruiting an enthusiastic and collaborative post-doctoral research associate with expertise in formal methods, machine learning, control theory, numerical analysis, or a related discipline, with a strong
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mixtures. Funded by The Leverhulme Trust grant NMR Method for in Situ Monitoring of Heterogeneous Reactions (RPG-2023-105), the appointment will be made as part of a broad project including researchers in
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an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue
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thereafter, for 1 year in the first instance, with the potential for renewal for a further year. The post is part of an EPSRC-funded research programme (PhotoOxyEdit), looking to develop photochemical methods
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, Professor Evangelos (Evan) Kontopantelis. You will need a good first degree (2.1 or above) or equivalent in statistics or a relevant discipline and a PhD in health services research, economics, data science
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in