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) in order to realise the objectives and development of the research programme. The post holder will investigate critical survival and proliferative pathways in B-cell malignancies. The project aims
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/physics/computational biology. The successful candidate will contribute to real data analyses and to the development of Bayesian MCMC algorithms in the MCMCtree software and associated R packages. We
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” addresses. You should have a good undergraduate degree in social sciences (attained or expected shortly), proficiency in Microsoft Excel or another equivalent spreadsheet programme, and experience
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strategy to conduct research and be involved in advising across a range of research projects as part of our ambitious R&D and innovation programme. The post will seek to advance knowledge in inclusive and
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Nutrition Actions (IMMANA) programme. IMMANA’s aim is to accelerate the development of a robust scientific evidence base needed to guide changes in global agriculture and food systems to feed the world’s
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expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology. Candidates are required to either have an undergraduate degree in statistics or epidemiology
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can work independently. Applicants must hold a degree in Psychology, alongside and interest and competence in basic qualitative and quantitative research methods. In 2022 the RHUL DClinPsy Programme had
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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
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View All Vacancies Comparative Biomedical Sciences Location: Camden (King's Cross, London) Salary: £38,721 to £49,521 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language