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for energy conversion and storage applications. You will work with around 25 colleagues with diverse backgrounds in computational and experimental science, machine learning, and artificial intelligence. We
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environmental engineering. Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Posted on 06/06/2024 Be the First to Apply Work with international
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focus on (i) generative models and machine learning of structure-property relations (ii) crystal point defects for quantum technology applications (iii) excitons and nonlinear optics. You will work in an
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Dynamics (AIMD), and Machine Learning (ML) tools to develop theoretical electrocatalytic frameworks. Hereby, the project will challenge existing research on catalysis, move the boundary of fundamental
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: Publish impactful work in leading journals and conferences in your field Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a robust
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Models and Machine Learning techniques able to "let the data speak" and assess interactions between multiple determinants. The present PhD will focus on the sustainability side of the project and the
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solutions. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD students. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You