459 web-programmer-developer-"https:"-"UCL"-"CEA-Saclay"-"https:"-"https:" positions at Monash University
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into internet culture, youth trends, and creator ecosystems to craft content that resonates across emerging platforms. In this role, you will lead the development of culturally intelligent, emotionally engaging
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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develop their own research proposal, and proposals must: concern themselves with a social science and/or humanities research agenda as appropriate to the applicant’s research interests; involve the use
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Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
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this role, you will apply your advanced communications expertise to lead and deliver complex corporate communications projects that align with the University’s strategic priorities. You will develop and
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. Recognition as a leading authority in workplace mental health and wellbeing, with a compelling vision for its future development. A proven track record of securing funding and delivering large-scale initiatives
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procedural fairness. Apply best-practice risk assessment strategies to identify and mitigate threats early. Collaborate with experts across legal, security, counselling, and residential services to develop
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in coordinating co-design, project development, governance and reporting for initiatives delivered with MHWA’s diverse Partners and supports project teams working across sectors. The role requires
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everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop your career in exciting ways. This is why we champion an inclusive and
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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE