211 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions in Australia
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Status: Closed Applications open: 20/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information PhD candidates at ACSPRI Member
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, four PhD students, and a research support officer. MSEL is part of the ARC Centre of Excellence for Coral Reef Studies and works closely with collaborators including CSIRO and the Palau International
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and research assistants. Travel regularly to field sites across Central Queensland. What You’ll Bring PhD in public health, epidemiology, rural health, Indigenous health, or related field. Experience
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and community partners, secure research funding, and contribute to JCU’s broader academic mission. About You Essential: PhD (completed or near completion) in psychology or a related discipline (e.g
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excellence, such as a PhD or first class Honours (or equivalent). Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after), or Masters degree within past
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Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with demonstrated research expertise in experimental nuclear structure physics. They will have a strong
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 11 hours 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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have: PhD in a relevant discipline and/or other relevant qualifications and experience. Capacity to contribute to research and administration. Quantitative and/or mixed methods research skills and a
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position at RMIT Vietnam in The Business School, you will need to be able to meet the following research criteria. For candidates with a PhD awarded within the last 3 years (Early Career Academic), although
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming