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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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: Support to publish, lead projects, and build a national/international profile. Work-life benefits: 17% superannuation, generous leave entitlements, wellness initiatives, and study support. Collaborative
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Level B This role is based at La Trobe University’s Bundoora Campus About the position: The Research Fellow, funded through a National Health and Medical Research Council (NHMRC) Synergy Grant, STARFISH
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expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before. STEM College is a community of
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, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society
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data to better understand the structure and function of the brain—across health, disease, and species. You'll work with world-class researchers in fields including network science, biophysical modelling
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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Galactic Science programme at CIRA through scientific and computational expertise. Selection Criteria A PhD in radio astronomy, astrophysics, physics, or computer science. Demonstrated expertise in
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flexible working arrangements may also be negotiated to meet your personal circumstances. ECU has an Award-winning Health and Wellness Program and an extensive range of staff benefits across entertainment
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer Science