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description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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enabler for surgical treatments. The role will primarily involve construction and evaluation of hardware, data collection, data analysis and writing scientific papers/reports. In addition, there will be
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undertake research in the neuroscience of ageing using the model organism Caenorhabditis elegans. You will also have the opportunity to contribute to project design and implementation, the analysis of data
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and Law is a truly global community of more than 8,000 students from more than 100 nationalities. State-of-the-art study facilities include a finance trading floor, mock and real courtrooms, computer
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trading floor, mock and real courtrooms, computer laboratories, dedicated PGR facilities along with study and breakout areas. With a strong emphasis on employability, the business and law programmes offer
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to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College For further information with the link to the application system, please click on the 'Apply' button above
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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Supervise the collection and maintenance of clinical trial documentation, including data records and equipment maintenance logs Ensure compliance with clinical inventory management procedures Develop and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
results, compare MPS-derived profiles with clinical data, and assess translational concordance. These efforts will include identifying factors that contribute to variability between in vitro and clinical