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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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, Section for Environmental Chemistry and Physics, jch@plen.ku.dk , phone: +4535332456. The PhD programme Depending on your level of education, you can undertake the PhD programme as either: Option A: A
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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Copenhagen Business School invites applications for a number of vacant PhD scholarships within the field of Information Systems and Data Science at the Department of Digitalization. The PhD
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, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops
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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and