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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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, causal analysis, and improved infrastructure resilience in the face of extreme events, particularly urban flooding? To address this challenge, the thesis will pursue several scientific objectives
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analyses and the visualization and interpretation of large-scale genomic datasets. Candidates should hold, or expect to obtain before the start of the position, a Master's degree or equivalent in
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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of the evolution of faults affecting physical components, sensors, and measurement and communication systems. • Analysis of intentional and unintentional events that may produce similar signatures. • Robustness
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• Support in maintenance of the Platynereis culture • Dissemination of results in oral and written form. • Activities • Calcium imaging, data acquisition and analysis • Opto/Chemogenetics at cellular and
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, Psychology, Neuroscience, Computer Science, or a related field, interested in interdisciplinary approaches to understanding human cognition, experience with experimental research and data analysis, and
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, annotators, and underlying neural architectures. The ultimate goal is to produce argument mining tools that are more robust, generalizable, and fair, applicable to sensitive domains such as the analysis
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analysis and dissemination of the findings. The main responsibilities will include: • Designing and implementing experimental paradigms involving motor and social coordination; • Recruiting participants
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of researchers. The end of data taking being scheduled for January 2027, the student will make a significant contribution into data analysis toward the publication of the final results. The work will