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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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interdisciplinary setting including immunologists, clinicians and, bioinformaticians and biologists. Experience in tissue culture. To apply, please submit the following documents to Prof. Magdalena Plenbanski and Dr
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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about potential research projects, please contact Prof Toby Pavey . For information on how to apply for this scholarship, please contact hdr@qut.edu.au . What happens next? Applicants will be contacted
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, or Australian Permanent Resident Be an Australian or New Zealand citizen, or Australian Permanent Resident Contact with one of the project chief Investors: Dr. Ke Deng - ke.deng@rmit.edu.au A/Prof. Yongli Ren
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research methods Desirable: interest in pursuing pathways between industry and academic research Application process To express your interest, please submit an EOI form address to Prof Katie Ellis
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and Honour’s or Master’s. Desirable criteria: Practical experience and conceptual background in cellular immunology. Experience in tissue culture. To apply, please submit the following documents to Prof
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, the main leaving ligands and the major site of action, using for the first time, synchrotron μ-XAS and XFM and vibrational spectroscopic (VS) microscopy in the lead laboratory of Prof. Lay (USyd) in
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, electronic, robotic and software engineering skills to develop and evaluate machine vision-based algorithms for automated plant care in a controlled environment with artificial lighting. Relevant tasks will
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to Prof Lisa Given (lisa.given2@rmit.edu.au ) A cover letter A research statement of 1-2 pages, outlining the research problem and research questions to be studied, proposed methodology/methods, and brief