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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
within a dynamic and collegial academic setting. Ideal Candidate Academic Level A – Postdoctoral Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with
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professional experience for Level A or A PhD or equivalent in a relevant field for Level B. A demonstrated ability and understanding of research in the field of analytical geochemistry and geochronology
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teams actively contributing to, and taking a leading role in, the organisation and promotion of seminars and workshops related to these projects. About you PhD in architectural science or building physics
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you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including
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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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students and research support staff, as required. About You To be successful in this role you will demonstrate: A PhD in Biomedical Science, with a strong preference for molecular immunology. A strong
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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the agro-industrial sector will be valued). Completed a PhD in any area related to regulation, social science, and/or geography, broadly defined, including humanities and social sciences; Advanced
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interdisciplinary collaboration. You will have experience in qualitative and/or quantitative research methods, and be familiar with international policy frameworks such as the Buildings Breakthrough Agenda. As a
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pioneering state-of-the-art methods in multi-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics