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requirements ; and meet Monash English language proficiency requirements . This scholarship is also available to students undertaking Joint Research Awards when Monash University is the home institution
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Head of Operations - Artificial Heart Frontiers Program Job No.: 680632 Location: Monash University Alfred Campus Employment Type: Full-time Duration: Fixed-term appointment until 30/06/2028
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highly regarded. Training or experience in lived experience research will also be valued. This is an opportunity to be part of a research program that is shaping new approaches in neuroscience and mental
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
and official grading system (if available), supported by scanned copies of relevant certified documentation English language proficiency test results (if applicable) Names and contact details of 2
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system administration, performance tuning, troubleshooting, automation, and security hardening. Strong programming/scripting skills in Python, Bash or similar. Proven experience supporting researchers in
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across the Rich Experiences division, including curricular and co-curricular programs, online modules, and digital learning resources that support student development and success. Additionally, you will
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engaging with a wide range of stakeholders – from senior university leaders to cultural and industry partners the ability to plan, support, and deliver events with confidence and finesse initiative
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- to mid-career researchers to launch bold, independent programs, backed by mentorship from the world’s leading bioscience minds. As the successful applicant, you will: Lead an innovative research group
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projects within the NHMRC 2024 Partnership Projects grant Optimising maternal and neonatal outcomes through data driven co-designed initiatives in maternal immunization programs. This position combines
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accepted by the intended users due to their limited capabilities to sustain long-term interactions. In this project we propose to develop compositional vision-language models for social robots, enabling them