278 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions at University of London in United Kingdom
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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
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complex, fast-moving environment. The successful candidate will bring not just technical expertise but also the resilience and stakeholder management skills needed to thrive amid multiple priorities, tight
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education strategy across seven departments and multiple LSHTM-based centres, with a focus on building and strengthening skills in artificial intelligence and machine learning for epidemiological research
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, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures
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issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures and
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. Timely response to and resolution of enquiries, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from
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fixed-term basis. Reporting to the Head of Marketing, Degree Education (DE), you will own the planning, development and reporting of priority marketing campaigns targeting prospective DE students, while
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experience in leading cross-functional projects with multiple stakeholders. Strong commercial acumen and financial oversight capabilities. Resilient, solutions-focused, and highly organised under pressure. A
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excellent time management skills. Skilled in handling a busy workload, prioritising multiple deadlines, and demonstrating a proven ability to use initiative. Proven ability to have successful interactions
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involves carrying out research to evaluate the particle detector technologies currently developed at QMUL and their suitability for incorporation in space-borne applications, such as CubeSats. The project