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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | 15 days ago
cultures fail to recapitulate the complex three-dimensional structure of the IVD and do not accurately reflect in vivo responses. Therefore, advanced 3D preclinical models are required. We have previously
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 14 hours ago
optimization ofantennas, waveguides, RF packages andfront-end modules up to terahertzfrequencies, taking into account the impactof manufacturing technologies andprocesses. Due to the Chairs's affiliation with
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The research will be conducted within a multidisciplinary framework at the intersection of robotics, biomechanics, control, and artificial intelligence. The work will follow a structured methodology: Data
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climate change is becoming more visible and impressive every year, with serious consequences for people and the planet on a global scale, all sectors (transport, construction, agriculture, industry, etc
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maintains project structure and develops material to drive large-scale organizational change. They will work on multiple highly complex projects simultaneously, including: payer network integration given DFCI
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, continuing education, or a mission-driven organization. Understanding of digital content best practices, including content structure, usability, and basic search optimization. Demonstrated experience
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HTML and CSS, as applied to CMS page structure, templates, and components in alignment with accessibility standards and institutional guidelines. Familiarity with search engine optimization (SEO
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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excellence in robot-assisted radical prostatectomy and demonstrated proficiency across multiple surgical approaches and robotic systems. Strengths in perioperative optimization, complex case management, and
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] : elles capturent efficacement la structure topologique, mais n'exploitent pas nativement les mécanismes d'apprentissage de coût de chemin propres au Q routing [7] pour environnements non stationnaires [8