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structured approach to complex problem-solving Communication: Ability to work effectively in a collaborative environment with full proficiency in English (written and oral) Workplace Workplace We offer
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programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
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opportunity to work with leading experts across Europe to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and carbon-efficient meta-structures
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. Through cross-institutional collaboration and industry engagement, COMBINE provides structured doctoral training, secondments, and interdisciplinary research experiences. PhD position COMBINE-DC17 is hosted
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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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80%-100%, Zurich, fixed-term We are looking for a Research Engineer to join ongoing and future research projects at the intersection of machine learning, and structural design (e.g. trusses, space
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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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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