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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
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systems. Empa collaborates with the Federal Office for Defence Procurement, armasuisse, to assess and optimize the energy supply security for a defence relevant site in Switzerland. A particular focus lies
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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development. Job description We are searching for a scientific assistant who assists and coordinates teaching activities in the international master program Spatial Development and Infrastructure Systems
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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equipment, manage samples, and ensure lab safety while contributing to innovative projects. What You'll Do: Fix, embed, section, and stain tissue samples (H&E, IHC, and specialized stains). Operate and