323 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Oxford
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on the programme, supervision might be provided in small groups or individually. The teaching, supervision and administrative load will be 336 ‘stint points’, which is the unit in which teaching and supervision
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dealing with customers, both face-to-face and by telephone and e-mail as appropriate. Ability to use standard computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and
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enrolled students), managing examinations and assessments in accordance with university regulations, event management for taught modules, and financial management of the programme. During taught modules
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(CoI-AI) Programme. This ambitious programme combines advanced immunology, artificial intelligence, and human challenge models to transform vaccine discovery and accelerate development against major
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primarily computational but partners with multiple international labs (including Harvard, Yale, UC San Francisco [UCSF], and the New York Genome Center) to co-design experiments and generate novel datasets
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and passive fire systems, fire safety legislation, and fire engineering principles Experience delivering complex reactive building fabric repairs in large or modern commercial buildings Excellent
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We are seeking a highly motivated Postdoctoral Research Scientist in Cancer Immunology to join a Cancer Research UK (CRUK)–funded research programme investigating the mechanisms of immuno
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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are essential, along with strong computer literacy and familiarity with standard software packages. A working knowledge of statistics and experimental design, and experience using statistical software such as