380 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at Monash University in Australia
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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. Dowe (1999a). Minimum Message Length
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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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be principally engaged in program design, development and delivery (including teaching and assessment) that responds to industry needs. As the successful candidate you will be responsible
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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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accreditation standards is essential, along with strategic leadership in the HDR program to attract and guide exceptional research students. In addition, the successful candidate will provide strategic and
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the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E....
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Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program . Proc. 7th Australian Joint Conf
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, preferably in a clinical research setting along with the ability to work independently and as part of a team. Attention to detail, high computer literacy and a commitment to confidentiality and research
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and