431 computer-programmer-"https:"-"IDAEA-CSIC"-"https:"-"https:" 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 Monash Suzhou Science and Technology Research Institute (MSSTRI) and currently has five priority research themes that address strategic issues of mutual interest, including: Advanced computation in science
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goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
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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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and Inductive Inference by Minimum Message Length'', 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
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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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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash
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. This does not include food expenses) Participate in the Faculty Indigenous Vertical Peer Program. Accommodation over the summer months in Monash Residential Services may be available, but you must notify MRS
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...