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outreach platform, designed to engage 11–18-year-olds with big questions that encourage critical thinking and debate, broadening access to higher education through interactive content. Key Responsibilities
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science/bioinformatics (or a closely related analytical subject) or with an equivalent of level of experience evidenced by significant relevant outputs Substantial experience of working at remote big data platforms with a
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an outstanding and enthusiastic individual with an interest in statistics/data science, epidemiology (social/environmental), and population mental health research to work on an exciting programme of inter
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, open-source simulator of large, dense crowd dynamics. The simulator will have applications in public safety, urban planning and event management. The research will focus on developing a physics-informed
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, big data analysis, machine learning, and AI How to Apply To apply click on ‘Apply Online’ and fill out the application form and upload your CV and Cover Letter. Further information about the application
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. You’ll bring a strong financial accounting skillset, including experience in year-end processes such as accruals, prepayments and fixed asset schedules, and be confident working with large data sets
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commitment to excellence, equity, and student success will be paramount. With a big focus on nursing and health, we are particularly interested in applicants from a relevant background, with experience
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, you will join our busy and dynamic Student Records team to manage UEL student data, including students’ enrolment records, module registration and tuition fees, and to support academic colleagues in our
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an outstanding and enthusiastic individual with an interest in statistics/data science, epidemiology (social/environmental), and population mental health research to work on an exciting programme of inter
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Are you a STEM graduate with a thirst for knowledge and a talent for picking up new skills? Do you thrive on a mix of hands-on experimental work and in-depth data analysis? We're looking for a fast