50 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" positions at Monash University in Australia
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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design, contributing to our understanding of experiencing the human body as play. More information at http://exertiongameslab.org
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sensing equipment and theoretical work around play. For more information see http://exertiongameslab.org
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information see http://exertiongameslab.org
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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this scholarship: Students must maintain full-time enrolment and satisfactory academic performance as determined by the faculty. The Unit Codes: BEX3024 Industry Based Learning Project Unit BEX3012/3112 Work
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locations in hundreds of example video frames. Coding expertise is also needed. These barriers mean that automated behavioural prediction tools are accessible to only a fraction of behavioural research labs
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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Scientific. The American Statistician. 2019;73(1):69-81. O'Hagan A, Buck C, Daneshkhah A, Eiser J, Garthwaite P, Jenkinson D, et al. Uncertain judgements: Eliciting experts' probabilities: Wiley.; 2006