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, independent attitude - your perspective matters. Co-supervisor: Dr. S (Sascha) van Schendel, supervisor: Prof. dr. mr. P. (Pim) Jansen Job requirements We are looking for a candidate who: - has completed or is
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health and how these factors work. In this PhD project, you will explore how Google Street View imagery, 3D urban mapping, and Vision Transformer (ViT) AI models can be used to enrich Exposome Maps with
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application For more information about the position, you can contact Dr Caroline Gevaert (email: c.m.gevaert@utwente.nl) or Prof Raúl Zurita-Milla (email: r.zurita-milla@utwente.nl). You are also invited
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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recognizes hydrogen as an efficient, low-carbon solution to achieving greater industrial sustainability and meeting net-zero targets. Implementing this vision necessitates a diverse array of technologies
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
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conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our