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Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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project and is fixed-term for two years, with the possibility of extension. The objective of this project is to carry out computer vision and machine learning research in order to be able to translate
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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able
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publications, for stage in career, and evidence of contribution to the writing of these publications proportionate to opportunity. Experience with machine learning and/or machine vision applied to research in a
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(CVN ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5 ), Mr Jackson at the UoE