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People with disabilities are excluded from the assistive technology creation process because the methods and tools that are used are inaccessible. This leads to missed opportunities to create more
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-employment and background checks required for the role, as determined by the University. Enquiries: Zara Karaduman, Deputy Director, Stakeholder Engagement, +61 (0) 427 640 143 Position Description:Research
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commitments more easily . Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. For instructions
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation
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domestic students enrolling in the Biomedical Science Honours program BBiomedSc(Hons) at the Monash Biomedicine Discovery Institute. The scholarship is intended to encourage students to pursue Honours as a
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was Dean of the Faculty of Arts from 1999 to 2006. It celebrates the achievements of students who have overcome serious academic hardship and are eligible to enter the honours program. You will receive a
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As humans we have the ability, and even the necessity of distinguishing between orders that are ethical, safe and necessary and orders that may be harmful or unethical. Theoretically this ability should exist in robots. To coin Assimov’s second law “A robot must obey orders given by human beings...
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Horizons 62(1) • November 2018. Heidegger, Martin. The Question Concerning Technology and Other Essays. Harper and Row, New York, 1977. Ihde, Don. “Philosophy of technology.” In Philosophical problems today
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...