267 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Monash University
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, hands-on role with the Faculty of Education as our next Operations Assistant! Be at the centre of the action, supporting the Operations team to plan, coordinate and deliver a wide range of activities
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and thrive throughout their studies. We are seeking a dedicated Learning Adviser to join us in delivering programs and services that make a real difference to student success, progress and retention
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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-level administrative and support services for programs, events and initiatives designed to improve the student experience through the provision of rich and meaningful experiences. The role is responsible
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students entering the Bachelor of Commerce (Honours) program majoring in Marketing at Monash University. This scholarship provides financial support to full-time students, awarded on the basis of academic
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study program - excluding MON2100 Global Immersion Guarantee. Benefits $3,000 one-off payment. Number offered 20 scholarships available. Selection criteria Awarded based on need. From one or more of
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before they are created in real life. Required knowledge The candidate should have some skills in the following areas, or a willingness to learn these skills: programming, machine learning, AI, neural
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well as giving back to the community through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my
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and organisational development initiatives across Monash. You will work closely with leaders, HR colleagues, expert consultants and learning providers to bring to life programs that build capability
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Advanced strongly typed languages like Haskell and emerging type systems like refinement types (as implemented in Liquid Haskell) offer strong guarantees about the correctness of programs. However