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results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research
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results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research
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of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid deposition and automated multi-technique characterization. Within the Swiss-Polish innovation
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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development X-ray based methods focusing on the evaluation of the structure – property relationship in applications such as biomedicine and space. In the frame of an ESA project interfacing research and
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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
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) methods applied to study hematopoiesis, such as drug administration via i.p, s.c. and i.v., blood sampling, bone marrow transplantation, tissue harvest and s.c. implantations, is highly recommended
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evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. Job description The research activities
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integration of novel methods for replacing animal testing. The project involves collaborations with several leading European research groups and experts in the field. The Postdoctoral researcher will perform
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and