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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about
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performs theoretical, numerical, and experimental research in the field of manufacturing engineering. It covers a wide range of manufacturing processes and modelling approaches, metrology at all scales
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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will support the long-term goal of helping constructing reasoning techniques to democratize and render transparent legal processes. As a postdoc in BPM, you are familiar with the role of process models
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models Tough bio-inks for surgical procedures We are looking for candidates with a high degree of independence and a strong drive for scientific excellence. These positions provide excellent opportunities
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative postdoc project at DTU
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modelling. It is expected that the degree of involvement in meetings and organisational tasks related to research projects will increase steadily during the employment. The following qualifications are highly
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. This will require both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. For the postdoc position, we are looking for a
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tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic