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pivotal role in analysing large-scale genomic and clinical data, applying cutting-edge algorithms, and collaborating with renowned experts in the field. At PBCI, we believe in fostering a collaborative and
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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on juggling multiple projects. Confident communicator who can explain complex ideas simply and build trust with academics, entrepreneurs and industry. Interest in intellectual property and software licensing
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that are required are the ability to work on multiple projects simultaneously including coordinating with other group members and collaborators. Expertise in living crystallization-driven self-assembly of conjugated
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establishment or research facility. They will be organised and motivated to manage their own workload, with a proven record of meeting multiple deadlines. Educated to A Level standard (or equivalent) with
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wide range of student sponsors and Funding Councils, and the different working practices of multiple Doctoral Training Centres and Programmes. The Postgraduate Administrator is supported by the full-time
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experience managing, motivating, and developing service teams Can prioritise and deliver multiple areas of work efficiently and effectively Can lead and support teams through periods of change and process
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to communicate clearly, manage multiple tasks, and work both independently and collaboratively will be essential to your success in this role. We are looking for someone with: Previous experience in administration
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. Strong interpersonal and communication skills, with a commitment to tenant satisfaction. A detail-oriented approach to tenancy administration and property oversight. The ability to manage multiple