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PhD Studentship: Quantum Algorithms for Nuclear Level Densities Atomic nuclei have a rich structure, with heavy nuclei having many excited states – of order thousands or higher. Knowledge
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30th April 2026 Languages English English English The Kavli Institute for Systems Neuroscience has a vacancy for a PhD in Systems Neuroscience of Neural and Behavioral Algorithms of Pursuit Apply
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fascinated by cutting-edge photonic technologies and their role in shaping the future of clean energy? Do you want to pioneer integrated photonic sensors for nuclear fusion diagnostics? Join us in developing
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
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INDB together will recruit one PhD student focussing on the development and application of a vascularised brain-on-chip with integrated sensors. A physiological model of vascularised brain tissue would
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, primarily because they are single use and they lack effective monitoring, as they do not integrate sensors. RESSURG’s main research objective is to research weather reversible polymer networks with self
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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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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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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while...