624 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Monash University
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Monash Indigenous Research Award Monash Indigenous Research Awards (MIRA) is part of a support package provided by Monash University to support Indigenous Australian students undertaking Research
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telescopes (high-resolution spectroscopy) and space-based telescopes (asteroseismology). The uniting theme of these research projects is to expand our understanding of stars with masses similar to the Sun
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Animal Research Platform (MARP) is searching for a dynamic Business Operations Manager to shape the future of our platform and strengthen our long-term sustainability. In this pivotal role, you will be
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is seeking a Lecturer (Practice) to contribute their expertise to the Graduate Certificate of Pharmacist Prescribing. This role will ensure pharmacists are prepared to make safe person-centred
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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to the Executive Director, Marketing, the Director, Product Marketing provides strategic leadership for the University’s product marketing portfolio, including Monash College Pathways. This role is accountable
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meet Monash English language proficiency requirements . This scholarship is also available to students undertaking Joint Research Awards when Monash University is the home institution. Benefits HEC will
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Introduction Rodent behavioural testing is the study of the neural mechanisms underlying emotions [1]. It is used in the study of almost all mental conditions, including PTSD [2], OCD [3] and
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answering take a neural-symbolic approach and combine meta-learning and reinforcement learning techniques [1,2,3]. On the other hand, the generation of complex questions, the dual problem, is less explored
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them