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material coatings. Post-doc in the field of high through-put PVD process control and synthesis applied to compositional gradient thin film libraries Your tasks You will work on basic science topics as
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Laboratory for Mechanics of Materials and...
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accumulation rates. About the position The postdoc will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal
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will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal communities, soil organic matter quality
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computing clusters.The project team spans Northumbria University and the Federal University of Rio de Janeiro. You will work alongside academics, post‑docs, PhD students and industrial engineers in a vibrant
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their exercises, work placement and Master’s dissertation. You will counsel doctoral students. You are responsible for research on simulation methods for composite pressure vessels for hydrogen storage. WHAT WE
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fundamental physico-chemical parameters into play in these batteries to propose improvements of cell components, i.e., electrode materials and electrolyte. The objective of this post-doc is to conceive
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop a wound-healing hydrogel whose composition and design are
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this post-doc is to conceive
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develop independent research activities on the air pollution modelling. Candidate Profile: The Center is looking for a Post-doc to work at the interface between Air Quality modeling and machine learning