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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
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on scientific projects submitted by research teams of our institute. Train scientific staff from Institut Pasteur Paris and the international network of Institut Pasteur. Develop tools and applications to be
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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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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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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transport regimes, with a focus on the exploration of inhouse developed materials, and on exploring nonlinear magnonic processes triggered by microwave and spin-orbit torque excitations. The recruited person
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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 Human Biomonitroing Research Unit (HBRU) The HBRU has strong expertise in analytical toxicology and development of biomarkers for the assessment of human exposure to different occupational
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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