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, professional bodies, industry and the wider community. For further information about this position, please click here to view the information booklet . If you are unable to access this link, please email talent
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curiosity, collaboration and real world impact. With access to world class infrastructure, strong mentoring and rich data resources, you will be empowered to grow your research independence, build your track
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organisational skills, experience in manuscript or report preparation and clear communication skills. An understanding of confidentiality, privacy and information handling, collaborative working practices and
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, Computer Science, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time
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illness and its physical health comorbidities. Drawing on large-scale epidemiological data, clinical research and evidence synthesis, you will play a pivotal role in generating knowledge that informs
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methods development for high-dimensional omics and cell-level data at the quantum–biology interface. You will design reproducible software, publish internationally, and build collaborations across QUBIC
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
experimentation and multiparameter data analysis. The candidate will be capable of developing innovative research ideas, contributing to collaborative projects, and supporting funding applications. The School
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and external partners, including through progress reporting, regular project meetings, experimental planning, data analysis and publication of research outputs in reputable outlets Supervision and
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epidemiological studies, potentially including analyses of existing linked population-based datasets, such as the Enduring Cancer Data Linkage (CanDLe) data assets actively contribute to all aspects of research
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creators to its impact on everyday experiences, identities and issues such as data-driven discrimination, scams and harmful advertising. Working within a collaborative research team, you will investigate