664 information-security-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Monash University
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Monash Business School IBL Placement Scholarship This scholarship is awarded to high achieving students enrolled in a degree within the Monash Business School who undertake a 22 week placement with
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Join a dynamic team at the forefront of healthcare innovation as a Research Fellow in the School of Nursing and Midwifery. Monash Nursing and Midwifery is seeking a dedicated and motivated Research
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory angle, this project aims to build self-aware neural networks
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extraordinary ideas - and the people who discover them The Opportunity Shape the future of Occupational Therapy at a world‑leading university. Monash University is seeking an exceptional academic leader to take
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with a variety of Deep Learning frameworks, such as U-Net, ResNet, etc. One of the main challenges in medical image segmentation and classification is that the results must be explainable; hence
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the University. This is an opportunity to contribute to a high‑performing team that supports the full employment lifecycle for both academic and professional staff. The Responsibilities HR Business Support works
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Estimation for Robust Single- and Multi-View Learning in CV and NLP Robust Active Learning Under Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Hybrid
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David Shugg Professionalism Scholarship Industry Leaders Scholarship This Scholarship is to honour the important role that David Shugg played in the professionalism of paramedics. Throughout David’s
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data