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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
anatomical structures. Accurate preoperative planning is essential to restore anatomical surfaces and prevent surgery-related complications (such as infection, skin necrosis, or neurovascular injury), which
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distributions with parsimonious covariance structures and lower intrinsic dimension. We exhibited a simplified closed-form expression of the Wasserstein distance with an efficient and robust calculation procedure
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INT-26028 INTERNSHIP IN ORGANOMETALLIC CHEMISTRY FOCUSED ON DESIGNING NOVEL CATALYSTS FOR ADDITIV...
and entrepreneurship in all areas. Apply online https://www.list.lu/en/jobs/interns/ Your application must include a motivation letter oriented towards the position and detailing your experience
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voiture pour leurs trajets domicile- travail,” https://www.ouest-france.fr/economie/transports/voiture/les-trois-quarts-des-francais-continuent-dutiliser-la-voiture-pour-leurs-trajets-domicile-travail
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will be supervised by Christophe Eloy (IRPHE, Centrale Méditerranée), whose work spans fluid-structure interactions and reinforcement learning, Laetitia Giraldi (Calisto, INRIA), an expert in
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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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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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coordinate large-scale structural projects (shared infrastructure, cross-disciplinary technology programmes, calls for projects). Manage the C2RT: lead its strategic development and oversee the operations
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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