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Field
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will focus on the development of voice analysis technologies to enhance the prediction and triaging of Category 1 ambulance calls. Ambulance call centres play a critical role in triaging life-threatening
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, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self-organization of active particles. Fabricate and characterize light-driven microswimmers. Use
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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-term contracts. The thesis will be supervised by Pierre Rampal (CNRS, IGE, Grenoble) and co-supervised by Mickael Bourgoin (CNRS, ENS, Lyon). In addition, two other researchers will also be part of
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with machine learning, computer vision and/or statistical analysis Experience in field work Proficiency in English Catalan and Spanish are valued. LanguagesENGLISHLevelBasic Research FieldAgricultural
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, Scientific image or microscopy data analysis. You should possess excellent analytical skills, a genuine interest in interdisciplinary research, and the ability to work both independently and as part of a team
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metrological properties of the snow. The PhD-position is part of the project «Studying the optical attenuation through falling snow» which is a collaboration project between UiT The Arctic University of Norway
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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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checks to spot errors, and generally preparing data for analysis; assisting with onboarding new staff and maintaining project documentation; and assisting with literature reviews, new and renewal