427 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "inserm" "Inserm" positions at Monash University
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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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the delivery of a range of technical services. This position manages electrical and electronic design and assembly, providing integrated solutions involving computer interfacing equipment and systems
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program (or ability to foster research collaboration) is considered along with records of achievement. Those with joint Monash-Museums Victoria supervision will be highly regarded. To retain
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. Excellent interpersonal and communication abilities. High-level computer literacy and database management. Discretion, tact, and a commitment to confidentiality. This is your opportunity to play a key role in
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for a place in Monash Minds , a leadership program for first year students Number offered Two scholarships available per year Selection criteria Based on academic achievement, educational disadvantage and
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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.), you will have a strong...
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data. Our research is revolutionising the analysis of time...