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Group Manager, On-Premise Infrastructure and Private Cloud Job No.: 663750 Location: Blackburn Road, Clayton Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: A competitive remuneration will apply At Monash , work feels different. There’s a sense of belonging, from...
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Group Manager, Public Cloud Job No.: 663749 Location: Blackburn Road, Clayton Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: A competitive remuneration will apply At Monash , work feels different. There’s a sense of belonging, from contributing to something...
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services are highly desirable. Diversity drives innovation We welcome applicants from all backgrounds, including those without a traditional science, technology, engineering and mathematics (STEM) background
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Motorola Solutions Scholarship Achieving Potential Scholarship for Distinction The Motorola Solutions Scholarships supports talented STEM students from underrepresented groups to fulfil their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering...
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Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning
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have a truck to land on. Required knowledge This project would suit a mathematics or computer science student with a background in combinatorial optimisation, operations research or mixed integer linear
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) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are very competitive and are awarded based on your academic record, any
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would suit a mathematics or computer science student with a background in continuous optimisation (linear and non-linear programming) and discrete optimisation (mixed integer programming). An ability
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can be used to learn simple models (e.g., decision trees [6], decision graphs [4, 5], etc.) or improve more complex models (e.g., neural networks [2]). Recent advancements in mathematical optimisation
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Professor Paul Lasky. The successful candidates will hold a PhD in astrophysics, physics, computer science, mathematics, or a closely related field, and have experience in gravitational-wave astronomy, high