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Senior Advisor, Quality and Projects Job No.: 680000 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $140,157 - $148,769 pa HEW Level 09 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive,...
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result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
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to expand research opportunities and global impact. Supporting the growth of the Master of Biotechnology program, ensuring its success as a key revenue stream for the Institute. This is a unique opportunity
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has been shaped by numerous challenges. I left home at 12 and grew up in the out-of-home care system, which had a significant impact on my academic performance and aspirations. Although I didn't achieve
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Scholar, 2022 Future Leader Alex Wulff The Westpac Scholars Program is more than just a scholarship to me; it is an amazing opportunity to connect and collaborate with a supportive, diverse and inclusive
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Bachelor of Occupational Therapy (Honours) The Betty Amsden program helped me gain clarity about my career pathway and increase my confidence. I think these were strong contributing factors to excelling in
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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years. $2500 one off Monash Global Grant used from the second year of the degree (funded by Monash) An invitation to apply for a place in Monash Minds , a leadership program for first year students Number
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think of Machine Learning as the problem of approximating function f from the pair of measurements...