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Field
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day one, indepenent thinking is encouraged, and you will get all the support you need to further develop your scientific career. PhD Position 1 - Hybrid Traffic Flow Modelling This PhD focuses
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palaeoenvironmental datasets of different temporal and spatial scales, with complicated uncertainties, is also essential. The candidate will work in a leading global centre for deep time and contemporary social and
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within a research group with strong expertise in vascular access, large animal models and clinical translation. At the same time, you will be scientifically embedded in research groups at TU Delft focusing
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Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
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building models (impervious and with openings) capturing loads and pressures on various structural elements, both horizontally and vertically. Integrating experiments with numerical simulations (e.g. CFD
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the field, model development, remote sensing analyses, analyses of timber production, economic and policy data and documents, development of forestry cost functions, or surveys of forest owners. The project
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maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment
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The tasks to be carried out by the hired individual include: Behavioral experiments to assess itch in CPT1C knockout models Electrophysiological recordings (current-clamp and voltage-clamp) from neuronal
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you