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Pasteur. Developing tools and applications to be shared with the broader scientific community Interacting directly with scientist upon specific inquiries As part of a PEPR (Programmes et Equipements
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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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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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, 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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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
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into biologically relevant hypotheses about the physiological and pathological mechanisms of mental processes. Responsibilities: Develop and implement relevant computational models relative to specific behaviors and
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Role of dendritic cells development in controlling the response to immune checkpoint inhibitors. Position A M2 internship position is available in the Guermonprez lab at Institut Pasteur Paris