68 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Sydney in Australia
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the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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. This position will be based within the Leeder Centre for Health Policy, Economics and Data, known for high quality health policy research, analysis, advice and education. We focus on improving public health
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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their affiliates submitted on or after 1st January 2024, with allowances for career interruption. strong track record relative to opportunity (thesis, publications, preprints, data/products, or equivalent research
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, information systems, operations research, or computational social science. evidence of a developing research profile, including publications record relevant to career stage research expertise in one or more of
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development of research protocols, ensuring timely execution of research activities coordinate and submit grant applications, ensuring compliance with all requirements assist with data collection and analysis
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milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly experience in space solar cells qualification, acceptance
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, Professor Feike Dijkstra and Professor Stephen Cattle. The successful applicant will also work closely with CSIRO scientists; including project lead Dr Mark Farrell and Dr Uta Stockmann. For more information
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large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct