419 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "P" positions at Monash University in Australia
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neuroscience research environments, embedded within the Alfred Research Alliance and closely connected to leading clinical services. About the Role As a key member of our neurorehabilitation research program
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who discover them The Opportunity The ARC SRIEAS Securing Antarctica’s Environmental Future (SAEF) program is a leading international research initiative from the Faculty of Science focused
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professional and innovative approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Peninsula campus you will also be required to provide a high level of customer
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people who discover them The Opportunity Join a dynamic research program funded by the Australian Economic Accelerator (AEA) and the Australian Research Council (ARC) to advance electrochemical biosensors
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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status (SES) area To be eligible for this scholarship, candidates must have been accepted to participate in the Access Monash program. Benefits $8,000 per annum (48 credit points of study) up to a maximum
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D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L
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compliance assurance program across the Monash Group, working in close collaboration with central portfolios, controlled entities and faculties to ensure that Monash complies with its regulatory and other
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images