19 postdoctoral-image-processing-in-computer-science PhD positions at Empa in Switzerland in Switzerland
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-steered drug delivery processes for humans and link to associated clinical trials in oncology. Your profile Completed Master`s degree in mechanical engineering Proven experience in continuum modeling
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to optimize thermally-steered drug delivery processes for humans and link to associated clinical trials in oncology. Your profile Completed Master`s degree in mechanical engineering Proven experience in
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's around
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enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will be employed at Empa in St. Gallen full-time for three
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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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
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the supervision of Dr. Paula Navascués. The PhD Student will be enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will
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-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design