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Job Description Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges? Responsibilities and
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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technologies for quantum photonic networks? We are now strengthening our research team on quantum light sources in silicon and are opening three PhD positions within fabrication, characterization, and theory
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CAT3D, a five-year Villum Young Investigator project that fully funds this PhD position, along with two postdoc positions, we will tackle this grand challenge by fabricating and studying electrocatalysts
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cutting-edge data science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the PhD
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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming