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of the methods. The project is carried out in close collaboration with Helical-AI, an industrial partner specialized in large-scale genomic foundation models and HPC-enabled model deployment, ensuring
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for Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely with Prof. Carol Martinez, Prof. Olivares-Mendez
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securing competitive national and European funding Represent the University of Luxembourg in international research forums, fostering collaboration and visibility Mentor PhD students and student assistants
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general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and experimental immunology colleagues. As a formal qualification, you must hold a PhD
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an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and immersive fieldwork conducted by the geography team A key
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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environmental concern. PFAS contamination in drinking water and in wastewater demands permanent solutions for removal and destruction. Current methods have various disadvantages, especially related
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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record in technology development, and postdocs here can help shape new methods, not just apply existing ones. We’re equally excited about domain experts in fibrosis, ECM biology, or inflammatory disease