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Part time 0.5FTE, fixed term for immediate start until 30 June 2028 Use your extensive research experience to contribute to groundbreaking research using geographical, spatial and environmental data
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sciences in information, algorithms and machine learning for enhancing the impact and success of diagnostic intervention. By partnering with DSI, CAD Frontiers will build capacity to achieve rapid and
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-reviewed journals, presentations at conferences, and engagement with stakeholders and policymakers About you PhD in epidemiology, public health, implementation science, or related field. strong background in
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Management who has: a PhD (or near completion) in a relevant field with a disciplinary background in water/natural resource management, project management, sustainability science, political science, data
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approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception
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data to support work in carbon footprint quantification. map healthcare carbon reduction case studies describing the quantitative methods, systems interventions and impact. contextualise research
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for material flow analysis and hybridising physical, financial and economic data in the context of carbon footprinting techniques and will be working as part of a larger multidisciplinary team. The project is
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scholarly communication. About you hold a PhD and equivalent experience in relevant field (desirable to be in public health, epidemiology, medical doctor) track-record in peer-reviewed publications
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-reviewed journals, presentations at conferences, and engagement with stakeholders and policymakers About you PhD in epidemiology, public health, implementation science, or related field. strong background in
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Full time, 24 months fixed term opportunity. Located at the Faculty of Science on the Camden Campus, Camden Opportunity to contribute to our research in aquatic animal health Base Salary, Level A/B