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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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be responsible for collection and processing of eDNA samples from a range of different environments, as well as development, testing, and optimization of molecular reactions and detection methods under
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for a duration of 4 years. The optimal starting date for this position is September 2026.
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systems is a plus Good foundation in linear algebra, probability, and optimization Excellent knowledge (written/oral) of English is required; German is beneficial Required people skills Highly self
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conditions while ensuring applicability across various operational planning and optimization tasks. This work will be performed using currently developed or in-development tools at RRE. Namely, the PowerGraph
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densification, (iv) changes in glacier surface albedo. Particular objectives include the development of frameworks to infer optimal physical parameters and downscaling of meteorology through assimilation
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and adaptability, be able to work under time pressure Have good knowledge of German and English (oral/written) Workplace Workplace We offer The University and ETH Zürich offer optimal working conditions
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interest in optimization What we value Research mindset and intellectual curiosity Ability to work independently Clear communication of ideas and results Workplace Workplace We offer Your job with impact