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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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Job Description We are looking for a motivated, ambitious PhD student to join the Cryptography Group in the Cybersecurity Engineering Section at DTU Compute (Copenhagen region, Denmark). This 3-year
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latest predictive and generative AI for materials, we can offer you the best possible foundation. We seek two highly motivated and talented PhD students to join our group at DTU Compute, and we offer
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Job Description Are you passionate about chemical theory and computation? Are you interested in the real-time (atto- to picosecond) dynamic changes in molecules when they undergo physical and
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors for graphene. Engineer