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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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procedure. In this context, the proposed PhD project aims to develop an innovative strategy to evaluate the efficiency and quality of surgical care. This strategy is based on data science, combining
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The Laboratory Technician will integrate the Human Biomonitoring Research Unit (HBRU). He/She will mainly work on the development of analytical methods for the detection of pollutants (pesticides
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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non-redundant collection of data for each new case of cancer (excluded non melanoma skin cancer). The RNC is aimed at providing an objective analysis of cancer evolution in Luxembourg, and enables
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit
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on the following criteria: • Ability to lead a research program of high risk/high gain projects, supported by a track record of publications and grants. The candidates must meet all criteria to compete for national
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liquids stand at the forefront of condensed matter physics. By joining our team at École Polytechnique, you will be at the heart of these discoveries, developing a next-generation thermal transport
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown