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Audiology (CERIAH), led by Professor Paul Avan, within the Institut de l’Audition at the Pasteur Institute in Paris, France. As part of a structuring program at the intersection of scientific research
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sustainability transitions Proficiency in qualitative research methods, e.g. semi-structured interviews, focus groups, stakeholder mapping Strong teamwork skills, scientific curiosity and a high level of intrinsic
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Interest in contributing to interdisciplinary research Capacity to mentor young researchers and structure emerging research initiatives Leadership and management experience, including the ability
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from
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Acoustic Sensing (DAS), is currently experiencing growing interest in an increasing number of applications, e.g., traffic transportation monitoring, structural health monitoring, and natural hazards