43 brain-computer-interface-"Multiple" Fellowship positions at The University of Queensland
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published Australian and New Zealand Guidelines for the Management of Concussion and Mild Traumatic Brain Injury in Adults and Children (https://anzconcussionguidelines.com ). Working alongside a world-class
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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research profile as a Research-focused Academic in the Queensland Alliance for Agriculture and Food Innovation at UQ. The Research Fellow will be responsible for leading a tissue culture program for
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity Join the Computational Multiphysics Laboratory (CML) at UQ’s School
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coherent research program with an emerging profile in coral reef studies. Supervision and Researcher Development: Supervise and mentor researchers and students through effective guidance of Honours and
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translation and commercialisation. Develop a coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research
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to contribute to student supervision and research development, as well as service and engagement roles and activities. Key responsibilities will include: Research: Contribute to and develop a research program
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead