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peripheral immunity shapes brain health and neurodegeneration, with a strong track record in myeloid biology, immune trafficking, and α-synuclein pathology. The clinical team at UZA brings deep expertise in
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remains an essential component in these low-carbon cements. I.2 Objective. This project aims to explore hydraulic binders based on magnesium (instead of calcium), as this element is abundant in the widely
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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: 31 Sept 2025 Interested candidates are invited to apply by sending the following documents via the application form: A cover letter detailing career objectives and research interests, a curriculum
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disciplines. AHM’s mission and profile integrate all branches of research that focus on the material and intangible remains of the past, the reciprocal relations between objects, meanings and representations
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rated as ‘world-leading’ or ‘internationally excellent’. This PhD will be based within the Centre for Space Systems and the Resilient PNT research group, both of which have strong track records in
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the University of Montpellier and the CNRS. It specializes in the study of sensors, components, and systems 2 intended for hostile environments. The primary objective of the IES is to design and develop innovative
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climate change-resilient infrastructure slopes. This PhD is co-funded and co-supervised by Network Rail. The aim is to enhance understanding of how drainage systems impact slope hydromechanical behaviour
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skills / experience in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge in: logistics or/and supply chain management or/and transport planning is
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statistical inference. More specifically the recruited PhD student will consider variational inference approaches for GEA and stochastic optimization to speed up the inference, with the objective of scaling up