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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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them correspondingly for different applications; Evaluate different SiCOI materials; Fabricate SiCOI devices using CMOS compatible processing; Integrate different devices monolithically on SiCOI
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of organizing processes and their outcomes. Methodologically, we value qualitative research methods highly and often adopt case study, field work methodology or social network analysis. The teaching
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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Electro at the DTU Lyngby and Risø campus. You can read more about career paths at DTU here . Selection process Application procedure Your complete online application must be submitted no later than 1
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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date. Specific Requirements Application procedure Your complete online application must be submitted no later than 1st December 2025 (23:59 Danish time). Applications must be submitted as one PDF file
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compounds from seaweed. The goal is to advance sustainable separation technologies through green solvent design and process intensification. As part of the Alliance PhD programme, you will also spend 3–6
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and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and