332 parallel-computing-numerical-methods positions at KINGS COLLEGE LONDON in United Kingdom
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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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Research Project titled “Harnessing electron-phonon interactions in nanoplasmonic solar energy conversion”. The goal is to develop new computational methods that will enable design of metallic nanoparticles
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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to projects as per the programme communications plan, ensuring successful change management outcomes, and leading, motivating, and directing staff assigned to projects. Additionally, they will act as a line
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compliance of computer systems for use in the delivery of drug studies Sponsored or Co-Sponsored by the Partner Organisations; maintain relevant internal databases for the purposes of tracking performance
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the Department of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of