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and in a coordinated manner. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. JOB DESCRIPTION
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. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. Emerging and re-emerging infectious diseases
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of salinity data collected during the field surveys and through the monitoring stations; Calibration and validation of analytical and numerical hydrodynamic models based on the collected data. The models have
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and research reporting strong quantitative research, data management and analytical skills demonstrable excellent communication and stakeholder engagement skills, with the ability to build effective and
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equality and diversity duties document. Person Specification A PhD relevant to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability
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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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Full Time Fixed Term for 12 months We are seeking an ambitious and highly motivated Senior Research Fellow in Metaverse and Artificial Intelligence (AI) to join the Department of Decision Analytics
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. Responsibilities include: Conducting independent and collaborative research in environmental remote sensing, catchment processes, and geospatial analytics. Utilizing multi-source remote sensing datasets, with a
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characterization of donor-acceptor covalent organic frameworks, and their applications in photocatalysis. A strong research experience in synthetic chemistry and analytical characterizations. A solid experience for
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. Oversee framework analysis of qualitative data, including development of the analytical framework and interpretation. Develop and lead bids for external research grant funding, collaborating within and