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question in the fruit fly Drosophila. We study ultrafast morphodynamic adaptation in photoreceptor synapses to light changes using a range of methods, such as insect visual neuroscience/behaviour, image
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large and vibrant team present within the Hearing Research group at Sheffield. The project will primarily involve using 2-photon imaging and AAV-gene delivery applied to a wide range of transgenic mice
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-edge imaging and treatment chamber, we will then simultaneously monitor changes in stomatal aperture with ABA, ROS or Calcium under controlled environmental conditions. This will allow us to discover the
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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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passion for live imaging/microscopy and an appreciation for the use of model organisms in biomedical research. Our labs are part of the Bateson Centre (https://www.sheffield.ac.uk/bateson) and School
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, AI-based tools are being increasingly utilised to analyse "big data" from digital whole slide images (WSIs), enabling the identification of novel digital biomarkers and informing precision treatment
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ethics database application for the Yorkshire & Humber SDE. ● Secure research ethics to use new and novel technologies to de-identify images and unstructured data for the Yorkshire & Humber SDE
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femora bone and rib samples from paired MRI and CT images. ● Effectively work with colleagues for the registration of mineralised and non-mineralised bone materials to develop subject-specific finite
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, protein chemistry, imaging tools (e.g., mito-pHfluorin probe) and procedures, cell survival and death assays as well as model cell lines (WT and FIS1 knockout (KO) MEFs and WT and FIS1 KO HeLa cells
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Research Associate - novel gene targeted therapy for the prevention of breast cancer bone metastasis
signalling in the bone as a method of preventing metastatic outgrowth through retaining tumour cells in a dormant state. In addition, this project will utilise RNAseq and digital special imaging to determine