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Apply Job Description The section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), is seeking an outstanding and highly motivated candidate for a PhD
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well as pre-clinical data from model organisms. During this project, you will be joining the Single Cell Omics group at the Section for Bioinformatics at the Technical University of Denmark. About the Section
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join the ongoing efforts of researchers at the Department of Health Technology (DTU Health Tech) at the Technical University of Denmark. At the Bioinformatics Section at DTU Health Tech you will break
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microscopy and automated data analysis via machine learning we aim at creating structure-functionality correlations for tailored materials. In collaboration with theoreticians, we aim at extracting data from
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with researchers from machine learning and fire safety and material science in a truly interdisciplinary environment. Co-author scientific papers aimed at high-impact journals. Participate in
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro Kgs. Lyngby, Denmark Job Description We invite applications for a PhD
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multiscale modelling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials for energy applications. The candidate will work in a highly
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event-based simulation and a variety of machine learning techniques. A strong curiosity and interest in current and future mobility challenges, especially those related to logistics. Excellent written and
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Munchen (TUM), Technical University of Denmark (DTU), Kungliga Tekniska Hoegskolan (KTH), Universite du Mans, Conservatoire National des Arts et Metiers (CNAM) - with a constantly innovating, wide variety
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Neural Networks-based X-ray Tissue Imaging for Robotic Automation – DTU Compute Kgs. Lyngby, Denmark Job Description Are you