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Field
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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the feasibility of novel ultralow-power electronics based on quantum-mechanical tunnelling processes in advanced CMOS, which has a strong potential for Internet-of-Things devices and edge-artificial intelligence
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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative
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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition
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in Computer Science, Artificial Intelligence, or related field. Solid programming and development skills (Python, Git, Bash). Experience with machine learning (e.g PyTorch/TensorFlow). Strong interest
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Centre for Cognitive Science and Artificial Intelligence at Tilburg University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group
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The Max Planck Artificial Intelligence Network (MP-AIX) has opened its general PhD call (applications via the ELLIS portal). The Multimodal Language Department, Max Planck Institute
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for Mathematics at the University of Amsterdam is looking for you! Join Us! Are you interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The
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a master’s degree in a field such as human-computer interaction, design, communication science, artificial intelligence, health informatics, or comparable. Work experience is not required. Minimum
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of artificial intelligence , traffic management, and decision support systems. The successful candidate will explore the application of foundation models, such as large language models (LLMs), to support and