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modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to join this team. This is a unique opportunity to take a lead role in eDNA modelling and software
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School of Electrical Engineering and Computer Science – Faculty of Engineering Part-time (40%), fixed-term position for up to 12 months Base salary will be in the range $114,824.05 - $136,048.72
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Australia Application Deadline 10 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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the desire and ability to continually achieve research excellence as well as the capacity for research leadership. Strong understanding of theory and methods relating to the design of epidemiological studies
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their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
experience design, and/or web development, with the ability to apply human-centred computing/engineering methods to digital health. Experience in conducting and publishing high-quality research, ideally in
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candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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, economic evaluation and financial (budgetary) implications under supervision. Remain up-to-date and may contribute to current literature and methods relevant to the area of expertise. Contribute to teaching
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to the development of research questions and study designs. Undertake literature reviews and data analysis using qualitative and/or quantitative methods. Prepare peer-reviewed publications, reports, and conference
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and