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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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of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models
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research and teaching at the Cybersecurity Engineering Section at DTU Compute, Technical University of Denmark. You could be our new colleague if you are a talented researcher with a passion for research
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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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2 Jun 2024 Job Information Organisation/Company Technical University of Denmark Research Field Engineering Researcher Profile Leading Researcher (R4) Country Denmark Application Deadline 11 Aug 2024
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anchored at the Department of Civil and Mechanical Engineering at the Technical University of Denmark. The overall project aims to contribute towards the twin Green and Digital Transitions within European
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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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Skip to main content. Profile Sign Out View More Jobs Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Be the First to Apply Job
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, the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU) and unites leading experts from
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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