70 structures "https:" "https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" positions at ETH Zurich
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and within the ENHANCE Alliance. Job description You will support the S&E Initiative in the following focus areas: Assisting with website editing, including preparing, structuring, and publishing
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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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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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, and strengthening the visibility of the MAS MTEC programme. You will oversee the candidate journey and act as the main point of contact for prospective students, ensuring a structured, smooth, and
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, C++) Fluency in English People Skills & Attributes: Strong analytical mindset with hands-on problem-solving abilities Comfortable working in interdisciplinary teams Self-motivated, structured, and
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computational workflows to design novel AAV capsids Dry-to-wet: lead the computational design process and actively participate in wet lab validation of your designs (e.g., library construction, viral production
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microorganisms can be used to produce high-performance biopolymers. The scalability and non-seasonality of this process will enable the sustainable manufacturing of biopolymer filaments, films and 3D structures
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(e.g. LangChain, vector databases, RAG architectures) is a plus Required people skills Self-motivated, structured, and curious about emerging AI technologies Strong analytical mindset with hands
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Structuring and follow-up of project ideas Execution and coordination pre-studies Preparation of industry and grant proposals Development of collaboration opportunities with other research groups Development
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Thermal effects are a major source of geometric errors in modern machine tools. Accurate prediction of temperature fields inside machine structures is therefore essential for improving machining