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regulatory RNAs. Characterization of RNA devices by structural biology methods such as cryo-electron microscopy (cryo-EM) and tomography (cryo-ET). Testing and screening of RNA devices by functional assays in
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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines
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in transcriptome sequencing and analysis will be preferred. Prior experience in electron microscopy or mass spectrometry is advantageous but not required. Strong writing skills with a proven track
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through the web portal at https://www.sheffield.ac.uk/postgraduate/phd/apply/applying . Candidates should include a 2-page CV and a 1-page personal statement and explaining their experience and interest in
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early developmental success. You will establish an integrated workflow that combines cryo-electron tomography (cryo-ET), sub-tomogram averaging and expansion microscopy to map/model key sperm structures
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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., electron microscopy, spectroscopy, surface analysis) You will be motivated to work in a multidisciplinary research environment, collaborating with researchers across engineering, materials science, and
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of Staufen1:RNA complexes in vitro; as well as on gathering detailed information of such assemblies combining light and electron microscopy approaches. Techniques Gene cloning, Protein over-expression
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-based Powder Bed Fusion (PBF-L) and Hot Isostatic Pressing (HIP)), characterization of microstructure with advanced electron microscopy, and characterization of mechanical properties. This sub-project is