276 programming-"the"-"DAAD"-"IMPRS-ML"-"IDAEA-CSIC"-"Brookhaven-Lab" positions at Monash University
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. 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
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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and reporting facilities issues, and ensuring that spaces are safe for everyone and well-maintained. You will work with other Library staff to plan and facilitate events that support student inclusion
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of the Library. The role includes: Contributing, with other library colleagues, to the design, delivery, and evaluation of user experience programs supporting inclusion and belonging in the Library Ensuring
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of the Library. The role includes: Contributing, with other library colleagues, to the design, delivery, and evaluation of user experience programs supporting inclusion and belonging in the Library Ensuring
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. Required knowledge - self-motivated, willing to spend time and efforts in research - good programming and analysis skills - good communication skills (oral and writing) - good background in software testing
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- good programming and analysis skills - good communication skills (oral and writing) - good background in software testing and debugging - (can be obtained during project) a reasonable knowledge of AI
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of this role will be to manage the co-design and execution of the Faculty’s Indigenous Plan, ensuring it aligns with university-wide Indigenous strategies, discipline, national and international frameworks. As
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of Actuarial Studies is responsible for providing outstanding academic and strategic leadership to advance the Monash Actuarial Program. This role drives excellence in research, teaching, and professional
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algorithms for computing MML solutions beyond the one-dimensional case. Extend existing dynamic programming approaches to higher-dimensional problems or develop novel approximation methods that preserve