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to maintain a high level of attention to detail and work in an efficient and organised manner. Computer literacy, accurate data entry skills, and a science related degree, HND/HNC or similar are essential
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resource planning, ensuring roles, deliverables, and milestones are well understood by all. Foster a collaborative, high-performance culture across project teams, including Programme Directors, Learning
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maintain accurate and up to date records. In addition, the applicants should have high level of proficiency with computer software related to laboratory research, data presentation and statistical evaluation
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to forecast future outcomes, behaviours, and trends). The Product Owner will guide the ongoing development of AI at LBS across these areas - identifying high-impact applications, leading their implementation
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-governed, and high-quality data. This role is the LBS lead for data workstream within the Aware to Admit programme, working closely with internal stakeholders and external consultants including Data
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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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, high-performance culture across project teams, including Programme Directors, Learning Designers, and commercial colleagues, among others. Build and manage project budgets with commercial insight
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curricula and industry-engagement at our advanced production Futures Studio. They will also have the opportunity to work with the ground-breaking CoSTAR National R&D Lab, a £51.1m programme for converged
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expertise; also two MSc programmes applying AI to Drug Discovery and other sciences. Due to high demand, we seek to recruit subject experts who can contribute to these programmes, whilst enhancing our profile
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regional leadership in the area. They will support the Unit’s high- performance computing facility–Uganda Medical Informatics Centre(UMIC) project. The post-holder will develop and implement bioinformatics