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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech and Signal Processing (CVSSP, University of Surrey), which
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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of relevant R&D experience in high-power, high-efficiency power electronics systems. Familiarity with the development process of high-power power electronics systems (>10 kW) and hands-on engineering
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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to identify perturbed pathways, molecular signatures and clinically relevant biomarkers Contribute to translational research activities, including processing and analysis of clinical specimens from patient
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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe
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stage of the recruitment process. At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
: Identifying the competing social and psychological forces that shape moral inclusion.” The project investigates the social and psychological processes that shape moral inclusion and exclusion, including how
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models are accurate, safe, interpretable, clinically applicable, and ethically deployed. Job Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field. Good written and oral communication