67 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Monash University
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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 your own learning
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, Engineering or others related to the PhD topic) Excellent programming and/or robotics background, with a keen interest in human-robot interaction Prior knowledge of robotics and machine learning (e.g., relevant
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Australian Energy Market Operator (AEMO) launched the Zema Energy Studies Scholarship in March 2019, a world-class PhD program to develop the nation’s future energy leaders. The Zema Scholarship aims to create
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Social Science PhD Opportunity on Home Helper Robots Job No.: 678806 Location: Caulfield campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years (fulltime
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sequence dataHOW TO APPLYPlease ensure that you are eligible for admission into the Graduate Research program at Monash University prior to applying.To apply, please send your CV, a copy of your full
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Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive your own learning at one of the world’s
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uptake and adherence, and the modelling of future health inequalities by building tools for distributional cost effectiveness analysis. Integrated PhD Program As a candidate in the Centre for Health
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity