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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. The position is offered in the framework of a recently funded SNSF project with
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the bovine genome. We have collected large amounts of long read sequencing data (PacBio HiFi) to build genome assemblies and integrate them into pangenomes . This allowed us to investigate the distribution
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based on the extracted image data. Job description Develop and apply state-of-the-art algorithms for image segmentation, feature extraction, and quantitative analysis Combine classical image processing
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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quality. Monitor and optimize logistics and global distribution strategies. Quality & Regulatory Guide quality team in implementing a robust quality management systems in accordance with ISO 13485, FDA QSR
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liquid-liquid phase separated state are going to be targeted. Addressing details of conformational distributions of intrinsically disordered proteins in dispersed and liquid-liquid phase separated state is
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during field measurements, capture high-resolution imagery of cloud droplets and ice crystals to determine their size distributions and types. The resulting large datasets (often several terabytes
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Transmission Electron Microscopy (TEM): High-resolution magnetic field distribution characterization, temperature-dependent microstructure and magnetic texture evolution study. Atomic-Scale Analysis: Atom-probe
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Europe. The Swiss AI Initiative plans to distribute 15-20 million GPU hours annually to support various research and development projects in AI. As a machine learning engineer in this project, you will