47 assistant-professor-and-data-visualization PhD positions at Monash University in Australia
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University under the supervision of Professor Tim Dwyer at Monash University, Australia’s leading computer graphics researcher. Please note that this opportunity is limited to applicants who are legally
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Professor Pink’s Laureate Fellowship programme; summarise the theoretical, methodological and practical approaches you are interested in pursuing in a PhD and your interests in engaging with innovative visual
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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Professor Kristian Rotaru (Department of Accounting, Monash Business School; Deputy Director, Opportunity Tech Lab) Dr Mor Vered (Department of Data Science & AI, Faculty of IT) Dr Estelle Wallingford
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for an outstanding social sciences PhD candidate interested in home helper robots and our future lives with human-like AI, supervised by Professor Yolande Strengers at Monash University. The successful candidate will
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
an important part of an ARC-funded project Mapping Australian Homemade, Amateur & Do-it-Yourself Cultural Economies conducted by Professor Paul Long, Dr. Delvin Varghese, Associate Professor Shane Homan, Dr Ali
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, supported by the Monash e-Research Centre, for high-performance transport and land use modelling. World-class transport modelling and simulation platforms (Driving Simulator, Data Visualisation Lab
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with other students/staff in the workplace A demonstrated awareness of the principles of confidentiality, privacy and information handling Monash School of Psychological Sciences, ARC Industrial
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and inadequately captured in service and system-level data. This PhD project will examine the integration of care for co-occurring mental illness and addiction within Victorian mental health services
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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required