515 computer-science-intern-"https:" "https:" "https:" "U.S" uni jobs at Monash University
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internal and external stakeholders. With a strong focus on process excellence and sound judgement, the Program Coordinator delivers timely advice and support to participating institutions, trainers and
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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conditional on completion of the Monash LLB or JD units to the pathway stage of the program) and enrol in one of the following approved international pathway programs: Bachelor of Civil Law or Masters in Law
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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Engineering Excellence Scholarship Sir John Monash Scholarship for Distinction This scholarship is for commencing Engineering students and is awarded based on academic achievement. Up to five
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surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Engineering – Joint Departments of Electrical & Computer Systems Engineering and Mechanical & Aerospace
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Master of Engineering pathway program. Up to 10 scholarships valued at up to $30,000 are available each year. Applications No application required Total scholarship value Up to $30,000 Number offered Ten
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Microbiology in Water Engineering Scholarship The Microbiology in Water Engineering scholarship be introduced to encourage students to begin thinking about the interdisciplinary of planetary health
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TNE Engineering Achievement Scholarship Sir John Monash Scholarship for Achievement Are you a high-achieving student from a partner university looking to pursue engineering excellence at Monash
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment