142 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of London
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research programme on infections and brain health funded by the Wellcome Trust. The successful candidate will conduct innovative research into relationships between infections and aspects of brain health
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process for this role, candidates will be invited to attend a panel interview. In addition, there will be a scenario-based written assessment and a numerical assessment, lasting a total of 45 minutes
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.) including experience of industry-led R&D Are comfortable with cutting-edge user experience research methods Are happy discussing and co-creating research with a range of different stakeholders from across
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language processing (NLP) methods to work on a research project exploring the use of NLP in causal studies using primary care electronic health record data. Typically, entries in structured electronic health record
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for this role, candidates will be invited to attend a panel interview. In addition, there will be a scenario-based written assessment and a numerical assessment, lasting a total of 45 minutes
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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Artificial Intelligence, which combines novel pedagogical methods with specialist expertise; also two MSc programmes applying AI to Drug Discovery and other sciences. Due to high demand, we seek to recruit
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along with good understanding of cleaning methods and technique. Further particulars are included in the job description. The post is part-time, 10 hours per week and permanent. Exact working hours will
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confidently with a wide range of customers and have a high level of customer focus. You will be able to work methodically, follow set processes and procedures, and have a high level of attention to detail and
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and