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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
Monash, the three-year interdisciplinary project brings together academics in media, creative industries, cultural studies, sociology, and human-centered computing. The successful applicant will join the
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or above (or equivalent) Benefits Master of Public Policy and Management (A6033) - We have a number of scholarships available for this program between 30% , 50% and 100% of the tuition fees. Master of Data
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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codebase, enhancing RESTful APIs, and applying best practice DevOps and Agile development methodologies. About you We’re looking for someone who brings: A degree in computer science, software engineering, or
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the Senior Vice-President Finance. This is a strategic leadership position where you will oversee the development, implementation, and management of Monash’s treasury function, ensuring effective stewardship
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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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with Turning Point's helpline service, students on the Next Generation of Graduates in AI in Mental Health program will have the opportunity to enhance the capabilities of these helplines using data
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in organic and inorganic semiconductors ” (OPTEXC). As part of this program there is the opportunity for students to undertake fully funded joint degrees with the University of Bayreuth in Germany in
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strong out-of-distribution generalization capability [2]. If user-specific information is identified and removable from the input data, the devised techniques can also be applied for privacy-sensitive