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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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potential vulnerabilities is a strong plus Proficiency in a major programming language (e.g., Python, Java, or C++) Familiarity with cybersecurity tools and methodologies, including vulnerability assessment
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will have access to state-of-the-art infrastructure and services, as well as a broad range of training and leadership programs designed to expand your skills and expertise. Excellent grant-writing
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in Computer Science Experience in dependable systems, real-time and
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researcher should have expertise in materials/mechanical/electrical engineering with an excellent understanding of fluid mechanics as well as experience with Arduino/Raspberry Pi programming, 3D printing and
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awards, and any other activities or interests that you deem relevant Cover letter - addressing the following questions: (1) How does your background relate to the position? (2) How do you plan