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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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methods (chromatography, spectroscopy, elemental analysis) to characterize feedstocks, intermediates, and recycled products. Exploring the influence of textile composition (cotton, polyester, blends
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living lab approach. Your role will involve employing a broad spectrum of data collection and knowledge acquisition methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups
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, or related processes) on textile waste streams. Developing and applying advanced analytical methods (chromatography, spectroscopy, elemental analysis) to characterize feedstocks, intermediates, and recycled
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metrology Job description In semiconductor manufacturing, optical metrology is a standard method to determine the exact position of printed features on a wafer (overlay), as well as the position of a wafer
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
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on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip functionalisation with receptor
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Interferometer (aMZI) sensors on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip