30 software-engineering-model-driven-engineering-phd-position PhD positions at Linköping University
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application! We are announcing a PhD student position in Computer Science within CUGS Research School in a joint effort with Cybercampus Sweden , formally based at the division for Cybersecurity at Department
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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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. This position, funded by the Swedish Research Council (VR), offers an exciting opportunity to work at the forefront of AI security, tackling some of the most pressing challenges in the field. As a PhD student
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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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application! We are looking for a PhD student in Medical Science Your work assignments Viral gastroenteritis, mainly caused by norovirus and rotaviruses, is a leading cause of global diarrhea. Susceptibility
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. The project aims to use D-MIMO infrastructure and machine learning to perform real-time sensing, such as positioning, intrusion detection, fire detection and detection of other types of anomalies. As a PhD
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machine learning to perform real-time sensing, such as positioning, intrusion detection, fire detection and detection of other types of anomalies. As a PhD student in this project, you will contribute
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duties, up to a maximum of 20 per cent of full-time. Your qualifications To be employed as a PhD student you need to have completed a degree at Master’s level in Electrical Engineering, Computer
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets