56 algorithms-phd-"St"-"St" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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have: a PhD or equivalent qualification (or be nearing completion thereof) in Materials Science/Engineering or another subject relevant to the study, development and/or application of nanostructured
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inclusive research environment within the team and the wider university, while collaborating with national and international partners across the Missed Vital Sign programme. You will have a PhD (or equivalent
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a highly motivated and enthusiastic Early Career Bioinformatician to apply and develop their computational skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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university, while collaborating with national and international partners across the Missed Vital Sign programme. You will have a PhD (or equivalent professional qualification and experience) in biomedical
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline