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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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manufacturing using single cell omicsSupervisors: Colin Clarke and Niall BarronAbout the project: The study of cellular biology has been transformed by single cell analysis. Rapid technological advances in areas
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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experimentation. As the projects evolve, they will also participate in the analysis of bio-fluid samples from animal models and postmortem human subjects to validate discoveries in brain tissues as potential
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and influence sustainable decision-making in the lateral flow diagnostic sector, and the Point-of-Care diagnostic supply chain. The recruited candidate will be responsible for generating a database of
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for Decision Research (CDR), with particular encouragement to advance high-quality, cutting-edge experimental research. Accordingly, demonstrate an outstanding capacity to generate original research questions
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leadership role in the design and implementation of program research, data analysis, interpretation and dissemination of program results. This will also include overseeing data collection and preparation and