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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
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models to be trained locally on devices, with only model updates (not raw data) being communicated, thus improving efficiency and privacy [14]. • Resource-Aware Scheduling: Design algorithms to optimize
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conservation related consequences of animal navigation, and (4) links biological and technical systems through models, algorithms, and devices. The acquired knowledge can help to solve major societal questions
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: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Scientist position is opened to contribute with algorithms and models in data-driven and
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statistical analysis and machine learning algorithms. Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing. Experience with deep learning
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statistical analysis and machine learning algorithms. Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing. Experience with deep learning
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-of-the-art by exploring novel experimental and algorithmic approaches enabling spectroscopy and imaging of quantum materials and biological samples with extreme spatial and temporal resolution. The work at the
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collaboration with the research software engineering team. Visiting other members of the community of Bioimage Analysts around the world, bringing you in touch with the latest algorithms and software tools
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applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from