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Field
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spectroscopy, and electron microscopy. Ideally the candidate will have some experience with NMR, ICP-OES/ICP-MS, and time-resolved photoluminescence. The Harvey Lab is a collaborative, multidisciplinary group
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working style and excellent interpersonal skills. It will be particularly relevant prior experience in Drosophila husbandry, fluorescence microscopy, biological data analysis and coding experience although
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spanning advanced microscopy, gene regulation, active matter physics, and machine learning. The position has a duration of 4 years. The PhD candidate will... Develop and apply advanced live-imaging workflows
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, confocal microscopy quantification, and sample retrieval for downstream analyses. Conduct tissue dissociation and immune/phenotypic profiling workflows as needed (e.g., flow cytometry, immunofluorescence
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the use of electron microscopic and synchrotron-related spectroscopic techniques. Other techniques may include x-ray diffraction, scanning and transmission electron microscopy, thermogravimetric and
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microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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Artificial enzymes or nanozymes Catalysis at biointerfaces or reactive nanomaterials Advanced materials characterisation techniques (e.g., electron microscopy, spectroscopy, surface analysis) You will be
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or paleoceanography theory and/or methods is an advantage. Experience with laboratory work and microscopy is an advantage. Experience in geochemistry, preferably stable isotope geochemistry, is an advantage. Experience
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scientific discovery. The successful candidate is expected to: Design and develop optical sensing and imaging systems for biological experiments (e.g. microscopy, spectroscopy, fluorescence-based readouts