287 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"SUNY" positions at University of London in United Kingdom
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus
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annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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act independently. In return we offer a highly competitive rewards and benefits package including: Generous annual leave entitlement. Training and Development opportunities. Pension Scheme with generous
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annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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work with the Head of Department and Vice Dean for Education and Student Experience to develop strategies to guarantee high qualities of academic provision and student experience. They will liaise with
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this, including developing and curating high profile events and a website, requiring a high level of scientific understanding as well as project management experience. Applicants must possess scientific expertise
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models