262 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of London
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diabetes and prediabetes by analysing voice patterns, providing a non-invasive and innovative method for early diagnosis. Specifically, this project will develop novel deep learning algorithms, and audio and
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solutions to develop and optimise novel seed treatments - enhancing crop resilience, improving performance, and supporting more sustainable agricultural systems. The postholder will be seconded to Eden
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About the Role This role is part of the Professional Services team within the Centre for Commercial Law Studies (CCLS) and supports the delivery and development of Executive Education programmes and
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in theatre related skills. This role offers an excellent opportunity to advance your clinical skills in addition to developing your teaching skills in a supportive environment. The successful candidate
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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, regarded as a leader in an identified field with clearly identifiable impact on the development of the sector. The post-holder will need to have an extensive network of creative industries contacts, spanning
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PHURI’s multidisciplinary research themes. We value scientific excellence, mentoring, and career development within a supportive, collaborative team. Join us to help translate genomic discoveries
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projects. The role will require the ACM to manage, maintain and develop low value supply agreements to achieve value for money and follow good practice in non-pay expenditure. The ACM will co-ordinate and
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experience of developing studies relating to Violence Reduction (study design, development of data collection and methods, study analysis and writeup) About the School/Department/Institute/Project The Faculty
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models