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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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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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postdoc position is part of the AUT section at DTU Electro which has demonstrated state of the art perception and machine learning solutions for autonomous systems in the fields of agriculture, construction
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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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and post-processing chains. Your primary tasks will be to: Perform and evaluate measurements in laboratory and field environments Perform data analysis and error assessments Teach and supervise BSc and
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discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 270 dedicated
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ability to work in the following areas: use bioinformatics tools, traditional and modern anaerobic microbiology, molecular biology. Experience with culturing microorganisms or a strong motivation to learn
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the research community at conferences and workshops. You should bring the following qualifications: A PhD degree in (computational) neuroscience, biomedical engineering, computer vision, machine learning
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to Danish and European food authorities. To put it short. if you want to make a meaningful contribution and positive impact on society, the world and yourself, this job is tailored to you. Learn to master two
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of machine learning methods for reduced order process model generation (experience with Gaussian process models is further desirable). Developing APIs and automated workflows for connecting numerical