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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
recruitment, inclusion and retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list
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Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore
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activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant
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retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here . We
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. The research will be conducted in close collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in
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collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in the Philosophy Discipline. The skills required
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Fellow to join The University of Queensland’s Node of the EarthBank Program — a newly established national geoscience initiative under NCRIS AuScope. EarthBank is a transformative program aimed at
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here . ANU is a large, diverse employer with staff working across numerous
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(MPSC & MDS). The appointee will work with the MPSC & MDS program management team to lead and support the research program of the service, developing and enacting a strategic research plan to continue to
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise