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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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17.07.2025, Wissenschaftliches Personal The Chair of Software Engineering & AI is searching for a new doctoral research associate (TVL-E13) in Generative Engine Optimization. Research focus
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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and Prof. Fabrizio Pastore on several activities in the area of quantum software engineering. The position holder will be required to perform the following tasks: Carrying out research in the predefined
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, molecular evolution and phylogenetics, software engineering and database development. The post is suited to a highly motivated individual preferably with a Masters and or PhD level training in a relevant
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translational research, clinical decision support, and patient-centric digital health solutions. You will work cross-functionally with data scientists, clinical researchers, software engineers, product managers
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urban scene, relatively affordable living, rich cultural offerings, and vibrant nightlife. Further questions regarding the open PhD positions can be discussed with the supervisor, Prof. Dr. Steven Travis