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Job Description DTU Talent Partner is a program for larger engineering corporations in Denmark. Each partner can participate in 4+ events annually focused on Employer Branding, Recruitment, and
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Job Description At CERE we are currently developing a world-leading research group in gas cleaning technologies. The scientific field of gas cleaning, especially carbon capture, is growing, and we expect this to continue for many years to come. Our fields of research include fundamental...
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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2
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, Department of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing
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Job Description Do you want to join a new strategic knowledge and innovation programme to enhance university collaboration and student exchange between Denmark and Kenya? And are you passionate
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collaboration with our DTU-Biosustain researchers and contributing to build our Informatics platform infrastructure. The job We are seeking a motivated Junior Data Scientist to join our Data Science Platform
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be 1–2 days per week, depending on activity needs. We Expect That You Have: A relevant academic background in business, engineering, computer science, or a related field, or equivalent senior
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Job Description If you have a good journalist/media network and know how to translate complex science into engaging narratives - you may be the one we are looking for, for this exciting position. You can look forward to a good work environment, a lot of impact on your tasks and the motivating...
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colleagues that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron
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mechanisms underlying disease, by combining computational analysis of large datasets with functional analyses in a collaborative environment. Examples of our work include Chappell 2016, Circ Res; Dobnikar