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Field
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. While it is often appropriate to model transport of inert mobile species through un-foamed polymers via a simple diffusion equation and Henry’s mode sorption model, complexities arise when foams and
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the complex and diverse molecules needed by modern society. Industrial manufacturing is at a turning point. Many conventional production routes rely on non-renewable resources, harmful chemicals, and energy
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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collaboration can move from experimental interaction scenarios to sustainable integration within hospital workflows, healthcare infrastructures, and professional work practices. The project is conducted in close
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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King’s College London, in partnership with the College of Optometrists, is offering a PhD studentship to examine how optometrists cooperate with other eyecare and healthcare professionals
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transdisciplinary research on complex issues such as climate, materials, and cultural heritage. The Institute of Conservation is an internationally recognised centre of expertise in conservation-restoration and the
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designs and complex data analysis. Physical Requirements & Working Conditions Posting Information Posting Date 01/15/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants This position
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categories for a better capability of managing the uncertainty related to system complexity and data availability to achieve more accurate RUL estimations The student will have the opportunity to work with