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(including current transcript if enrolled in an MSc programme) Contact information for 2-3 referees Please note that we exclusively accept applications submitted through our online application portal
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articles, not programming). This position offers an excellent opportunity to learn basic methods of meta-analysis, get an overview of an educational field that is of growing interest, and gain quantitative
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) invites applications for a PhD position in the field of CO2 capture, with a focus on structure
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semester (2 weekly hours) in the MAGPW or SiP programs You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH
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on building robust prototypes that can operate in real production environments. Job description Design and implement AI-based decision-support systems for manufacturing applications Develop LLM-based
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for emulating constrained optimization problems Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge
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As a PhD student, you will plan, generate, and interpret new research data; you will present data to scientific colleagues in workshops and conferences, and you will prepare your research findings
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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novel research programme at the frontier of multimodal AI and ICU clinical cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence