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Field
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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to build a controlled microenvironment in the form of a gliovascular interface on a chip in order to make detailed measurements of glymphatic regulation using advanced imaging techniques. The successful
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metallodrugs Mammalian cell culture including experience of 3D cell culture techniques. Confocal microscopy including quantitative image analysis Flow cytometry General molecular biology techniques such as
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a series of high-resolution FRET biosensors to track such dynamics for gibberellin, abscisic acid, auxin and salicylic acid in living plants. The Jones group combines imaging of FRET biosensors with
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of Engineering Science (Headington). The post is funded by UKRI and is fixed-term for up to 24 months. The researcher will work with Professor Christopher Proctor to develop prototype bioelectronic technologies
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cultures. Experience in molecular biology methodologies, following and adapting protocols and setting up cellular assays including image-based is essential for this role, and knowledge of neuroinflammation
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s
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research, fundamental cell biology and cell signalling with excellent shared facilities including the Centre for Proteome Research, the Computational Biology Facility, the Liverpool Centre for Cell Imaging
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-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics
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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast