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, materials characterization and device testing. Extensive experience with clean room processes and testing of resonators is required. •Enjoy working in an international team. Solid track of communication
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors
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years of post-PhD research and engineering experience in AI for mobile security Solid knowledge in adversarial machine learning or trustworthy AI, including experience with robustness assessment and
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controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD student will work closely with POST Telecom's company (Luxembourg), who is co-funding this PhD position
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email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity
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that provides insights into model decision-making processes. Human-in-the-loop system design: you will develop innovative approaches for integrating human expertise with LLM capabilities, including alignment
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the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In
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processes in parent-child interactions; development and programming of survey instruments; recruitment, coordination and implementation of test sessions in Luxembourg) Guidance of a team of student assistants
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and