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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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are welcome from diverse backgrounds, including physics, chemistry, engineering and material science. We are particularly interested in applicants with a strong preference for hands-on experimental work and a
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skills crossing the disciplines of materials science, biochemistry and analytical chemistry. Techniques will include rheology, materials testing, spectroscopy, surface analysis, molecular weight analysis
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can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stefan Kragh Nielsen, skni@fysik.dtu.dk . You can read more about the section
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new
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engineering, materials science, experimental physics, bioscience engineering - catalysis, or equivalent through experience; or you will have obtained it by the time you start to work. Your research qualities
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for sustainable production of food by applying your microengineering and material science skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the SOLARSPOON
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job description and the link for submitting the application material under reference number 25063. If you have questions on the submission process or have questions on the position please contact Prof
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular