265 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
-
perspective to fundamentally solve the central question: how should an observer act in an environment to actively uncover the goal of the agent? Required knowledge Proficiency in Programming, Bayesian
-
of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
-
into infrastructure investment. The program helped me really open up, gain leadership and public speaking experience and gave me a better understanding of the industry and what I want to do next in my career. Am I
-
and Master’s programs, with responsibilities potentially including: Delivering engaging teaching activities Marking and assessment moderation Developing and updating learning materials Contributing to a
-
activities, such as the Monash Minds Student Leadership Program. I am grateful for the support this scholarship has provided. It has empowered me to embrace new opportunities with confidence and has
-
. An invitation to take part in Monash Minds , a leadership program for first year students. Number offered Two scholarships available. Selection criteria Awarded based on need. Preference will be given
-
Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
-
diverse learning experience within the JD program. Applications See below Total scholarship value Tuition fees paid Number offered Variable See details Dylan Thomas Glatz Monash Juris Doctor Law Dean's
-
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
-
. 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