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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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ranging from 1,000 to 200,000 samples per second, is capable of observing magnitude negative five induced earthquakes at meters to 10’s of meter scales. All data is acquired and processed using SeisComP
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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. Advanced signal processing Dissemination of research findings through scientific publications and presentations Supervision of (BSc and MSc) students The project provides a unique opportunity to combine and
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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and arrest, building structures with topologically interlocked materials, revealing the processes governing the structural build-up of cement in additive manufacturing, determining the nano- and micro
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controlling atmospheric composition, the detailed processes controlling this exchange are not well understood and highly parameterized in models. Long-term eddy flux observations, which are very limited world
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on process- and system-understanding of agroecosystems (grasslands and croplands), in particular on their response to management and climate. Project background This position is embedded in a project on Spatio
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comprises a multi-disciplinary team of data and computer scientists and experts in several domains, with offices in Zürich, Lausanne, and Villigen. MeteoSwiss, the Federal office for Meteorology and
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transformer-based architectures for processing multimodal business data, with a particular emphasis on creating novel approaches for combining vision, text, and temporal data in management contexts. In