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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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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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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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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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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
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candidate will create her/his own team for developing and implementing innovative AI-based approaches to address key challenges in structural biology, including but not limited to: Designing synthetic
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we