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Field
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sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and
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algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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analysis (e.g. Soldis, Robot, Abaqus) and algorithmization of engineering problems (e.g. SciLab, Matlab, Mathematica, Python). Required documents: Candidates entering the recruitment process are requested
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contribute to collaborative projects. Areas of expertise should include contrast-free super-resolution microvessel imaging algorithm, ultrafast ultrasound imaging system design, and hardware acceleration
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Designing and developing scalable algorithms
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acquisition, software development, and day-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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of machine learning theories and algorithms; inter-disciplinary background; A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered