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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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well as abroad. The candidate is expected to: Design and perform experimental work. Be involved in the co-supervision of PhD, MSc and BSc students. Present research findings in scientific papers, conferences
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will develop, test and apply our measurement systems as part of a team at DTU Sustain of senior scientists and technicians, other young scientists and PhD students. In addition, you will collaborate with
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learning in this respect by investing in a new postdoc position of a two-year contract in the field of technology entrepreneurship and digitalization. The position will be hosted at DTU Centre for Technology
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Synchrotron Radiation Source (ESRF), have developed a Dark Field X-ray Microscope, DFXM, that can acquire 3D movies of the evolution of the internal structure of crystalline materials (grains, domains, defects
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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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organization of large datasets. Experience in machine learning with limited data is preferred. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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techniques. Located in the Intelligent Transportation Systems group in DTU (http://mlsm.man.dtu.dk ), this role is ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and
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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
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, industrial, and personal skills. Besides cutting-edge research, you can coordinate work packages in national and international research projects, collaborate with industry, write research proposals, teach