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Field
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models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The SRA will oversee and manage the work of graduate students and undergraduate
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, including nanoscale mechanical or electrical characterisation modes Experience with multimodal characterisation: SEM/TEM, rheology, FTIR, XPS, XRD, confocal imaging Practical experience in the fabrication
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crosstalk and basic molecular mechanisms during lung repair and disease. We utilize in vivo mouse genetics, live -imaging, 3D organoids, functional screening, and next generation sequencing technologies
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the molecular and genetic mechanisms underlying neural circuit formation. The successful candidate will drive independent and collaborative studies using advanced genetic, developmental, and imaging approaches in
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for cell line characterisation, including imaging, genome sequencing, proteomic analysis, and co-ordination of bioinformatics. In addition, you will be required to participate in supervising trainees in
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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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molecular biology, genome editing, and imaging techniques to study cardiovascular phenotypes. -Collaborate closely with the group leader and other team members, contributing to project planning, data
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mission and/or the Sunrise III stratospheric balloon, with the possibility of combining these data with other space missions and ground-based observations. • Analysis of images, spectra, and polarization