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? No Offer Description Postdoc position: Modeling the Circular Economy The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a Postdoc to build a roadmap to net-zero for
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position in Energy System Modelling The Research Center for Energy Networks (Forschungsstelle Energienetze - FEN ) at ETH Zurich was founded in 2011 to address the need for independent, credible and applied
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Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
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optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration of multifunctional
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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highly motivated and ambitious junior postdoc to work on the development and application of bone marrow tissue analogs to model and investigate human pathophysiological hematopoiesis.
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
. You will incorporate field survey data, remote sensing and other auxiliary data into spatial modelling processes using techniques such as species distribution modelling and artificial intelligence
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement