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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical university and in developing research and
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
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? No Offer Description The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable
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converters are increasingly connected to the power distribution system. Their high-switching frequencies and steep voltage slew rates pose a new stress to the insulation of the electric power system equipment
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-ray diffraction and even more specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by
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. This position offers the exciting opportunity to join the NorSCAPE project, which aims to disentangle the physiological mechanisms underpinning resilience and vulnerability across its distribution range. In
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PhD positions in optically multiplexed soft robotic actuators The Robotic Materials group is looking for two postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable