Sort by
Refine Your Search
-
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
-
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
-
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
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 7 hours ago
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
-
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
-
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
-
) 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
-
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
-
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
-
. 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