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. Empa is a research institution of the ETH Domain. Your tasks Amorphous materials play a key role in sustainable catalysis and energy conversion, but their disordered atomic structure makes them difficult
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fundamental research without the pressure of fundraising. ETH Zurich also has a strong culture of autonomy and trust. Its leadership structure values diversity, equal opportunity, and a "bottom-up" culture that
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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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models, and unsupervised learning to identify high-order structure in neural and molecular data. • Conduct statistical modeling of temporal trajectories and population dynamics across thousands of neurons
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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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, 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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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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and processes for energy efficient separation: Development of novel structuring approaches Manufacturing and characterization of monoliths Geometry and process optimization Both positions will be