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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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of work with that of others involved in the project. Write-up of results in formal documents and contributions to the preparation of journal/conference papers and other outputs (as required) are expected
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models, techniques and methods to understanding gender bias in political communication using text as data Contribute to public engagement activities that benefit dissemination of project research findings
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular
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candidate will have a PhD degree, or equivalent qualifications relevant to atmospheric science. Experience in offline chemical analysis, mass spectroscopic and advanced data analysis in atmospheric science is
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- $85,555 to $116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Level B - $122,212 to $145,121 p.a. plus 17% super Develop innovative biomonitoring techniques Contribute to global health and
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- $85,555 to $116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Level B - $122,212 to $145,121 p.a. plus 17% super Develop innovative biomonitoring techniques Contribute to global health and
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of work with that of others involved in the project. Write-up of results in formal documents and contributions to the preparation of journal/conference papers and other outputs (as required) are expected
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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(summarising progress, methods and findings) to report at Advisory Board meetings and act upon guidance and recommendations from the Advisory Board. Apply knowledge in a way which develops new intellectual