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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
, data analysis, and dissemination of findings through publications and presentations. The successful candidate will have the opportunity to contribute to a collaborative and dynamic research environment
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer: For more information on a range of lifestyle, financial
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analyse and harmonise large-scale claims, service and payment data across multiple jurisdictions—delivering insights that can influence national injury prevention and health policy. You’ll be part of
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will work closely with the project’s Chief Investigator, Dr Joanna Melonek, and will be actively involved in experimental design, data analysis, and dissemination of findings through publications and
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projects including complex data analysis (e.g., telemetry or genetic data) and paper writing The candidate will be working remotely (i.e. off-campus) providing excellent work flexibility Position Overview
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large-scale whole genome sequencing datasets, applying cutting-edge bioinformatics approaches to study structural variants. The fellow will play a key role in advancing our understanding of evolutionary
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Research here and the Burr Lab here: www.burrlab.com For more information about the position please contact A/Prof Marian Burr at E: Marian.Burr@anu.edu.au Working at ANU This is an opportunity to work with
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring & upskilling opportunities . For more information on a range of lifestyle, financial and non-financial rewards
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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms