150 parallel-computing-numerical-methods positions at University of London in United-States
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Criminology & Sociology. The position will involve teaching undergraduate core and option modules on these courses and we are interested in candidates with teaching expertise in Quantitative Research Methods
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methods. Experience in molecular microbiology is essential, with proficiency in RNA isolation from bacterial, eukaryotic, and virus-infected cells, cDNA preparation, and PCR methods such as Real-time PCR
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, administratively support in-person examinations and prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail
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multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in
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CPD programme at the RVC. We are looking for candidates with excellent organisational, administrative and IT skills who will thrive in a busy and challenging role. We also require experience in
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, to support and facilitate enhancement of learning and teaching, innovative methods of curriculum delivery and student success. We are looking for a colleague to join the Educational Development team in
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to maintain a high level of attention to detail and work in an efficient and organised manner. Computer literacy, accurate data entry skills, and a science related degree, HND/HNC or similar are essential
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, administratively support in-person examinations and prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail
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vibrant programme of around 500 events. We are looking for a Junior Fellow to provide high-level accompaniment and collaborative support for Strings Departments activities, including performance classes
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills