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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
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Primary supervisor Reza Haffari Research area Data Science and Artificial Intelligence Although deep learning has produces state of the art results on many problems, it is a data hungry technology
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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Primary supervisor Hui Cui Research area Cybersecurity This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in
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Primary supervisor Thanh Thi Nguyen Research area Machine Learning Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by
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Classification Title: Academic Assistant I Classification Minimum Requirements: High school diploma or equivalent and two years of relevant experience. Job Description: This person will serve as the primary academic support for the Office of Life Long Learning’s (LLL) Distance Education Support...
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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Doctoral Researcher in Probabilistic Machine Learning Employer AALTO UNIVERSITY Location Finland (FI) Salary 3168,20 EUR per month Closing date 21 Oct 2026 View more categories View less categories