268 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" uni jobs at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Field
-
. 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
-
-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
-
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
-
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
-
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
-
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
-
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
-
Responsibilities Manage the day-to-day operations of Campus Presentation service contracts, ensuring compliance with University policies, legislative requirements and quality standards. Plan and coordinate
-
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
-
learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness