462 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Inserm" positions at Monash University
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include: the evaluation of an existing health prevention program, the development of a measurement tool for health inequalities, behavioural experiments to assess how preventative interventions can improve
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to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion
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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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people who discover them The Opportunity Lead a dynamic program of veterinary care, research animal skills training and scientific services at the Monash Animal Research Platform (MARP). At the centre of a
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...
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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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and Inductive Inference by Minimum 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
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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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goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within