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is on interactive communication of humans with technology. We are seeking excellent applicants who study communication with artificial intelligence (AI). Relevant areas may include communication with
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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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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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the current therapeutic strategy. Specific atypical time-varying patterns such as pseudo-progression and dissociated response will be considered. 2- Methods: We will focus on the study of novel inference
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-driven tumor response criteria, specifically adapted to immunotherapy, so as to optimize the current therapeutic strategy. Specific atypical time-varying patterns such as pseudo-progression and dissociated
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institutes (C3M, iBV, IPMC, IRCAN, ISA). Applicants should have a strong background in applied mathematics or theoretical physics, with expertise in areas such as: Nonlinear dynamics Dynamical systems theory
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contributions to geometry and dynamical systems. The targeted profile covers real and complex analysis, harmonic analysis, analysis of PDEs for geometry, contributions of analysis to the following areas: theory
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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reaction remained to be uncovered and exploited with this radioisotope.In this context, the selected candidate will have in charge the labeling of the compounds prepared by the collaborators and their