24 algorithm-"EPFL"-"INSAIT---The-Institute-for-Computer-Science" positions at ETH Zurich
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de Lausanne (EPFL), and the Swiss Center for Electronics and Microtechnology (CSEM). In order to coordinate the project and to communicate groundbreaking results and news with the general public, we
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counterpart at EPFL, establish strategic partnerships, and manage communication channels to advance CLUE's mission of bridging research insights with real-world educational contexts. The position is initially
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80%-100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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postdoctoral researcher in the field of plasmonic nanostructures. The project is a collaboration between groups at Empa, ETH Zurich and EPFL. Job description In this position, you will be responsible
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-focused environment. Project background The Swiss AI Initiative is a collaborative research project led by ETH Zurich and EPFL, focused on developing responsible and transparent generative AI. A significant
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100%, Zurich, fixed-term The SDSC has been a National Research Infrastructure since 2025, evolving from a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners. Its
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise