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not required: Experience of electron microscopy, diffraction and spectroscopy What you will do As a PhD student, you will have the opportunity to shape your research project while receiving guidance and
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, where to store it and how to optimally prepare it for use in AI-driven systems and solutions We seek candidates with the following qualifications: To qualify as a PhD student, you must have a master's
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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development process with the intent of accelerating the adoption of the technology in the companies in Software Center. We seek candidates with the following qualifications: To qualify as a PhD student, you
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harness the broad diversity of flavor profiles among different marine micro- and macroalgae, which ultimately depend on cultivation and post harvest processing. As a PhD-student, you will be part of
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Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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Are you eager to conduct cutting-edge research at the intersection of electronics and artificial intelligence (AI)? We invite highly motivated candidates to apply for this PhD position
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control