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Field
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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electron microscopy. Documented experience in photophysical characterization, including UV–Vis absorption spectroscopy, steady-state and time-resolved photoluminescence spectroscopy, PL quantum yield
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, material science and advanced analytical techniques (e.g. state-of-the-art liquid and solid-state NMR techniques, X-ray diffraction, transmission electron microscopy, etc). The position involves
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thromboinflammation, using cutting-edge approaches such as confocal intravital microscopy, CRISPR-based gene editing, proteomics, and mouse models of human disease. Job Description Primary Duties & Responsibilities
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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functional microscopy, multi-modal and meso-scale imaging, clinical imaging innovations ranging from histopathology to whole-body imaging, tracer / indicator development, wearables and quantification
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techniques such as zebrafish microbiota manipulation, molecular biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience
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Research Associate will contribute to a research program focused on the structural and functional characterization of membrane proteins using cryo-electron microscopy (cryo-EM), biochemical, and biophysical
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these processes. The successful candidate will work with animal models and clinical samples and will apply a range of cutting-edge techniques, including flow cytometry, 3D microscopy and transcriptomic analyses
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systems. Main tasks include material synthesis and characterization, low-temperature scanning tunnelling microscopy and spectroscopy, data analysis, scientific instrumentation, collaborative research