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An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and/or causal inference to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit
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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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classification and the modelling of neuron and circuit function. Data sources will be neuronal morphologies, connectivity and computationally inferred or manually annotated metadata and published experimental data
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. Applicants must also have a strong track record of publications in computational materials science, excellent communication skills, the ability to work collaboratively in a team of scientists with different
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. Demonstrated track record of high-quality research. In the Gaunt Group we are committed to providing a welcoming and supportive space for all. We are a sociable group and productively work to create
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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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have a proven track record of high-quality peer-reviewed publications in these areas and experience designing, conducting, and analysing human studies. We are open to a range of skill sets, but
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quality control and quality assurance for the developed methods, contributing to the running and maintenance of the laboratory and sample tracking. Fixed-term: The funds for this post are available for 2
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-doctoral setting is a plus. - Hands-on experience with a broad range of experimental technology in protein sciences and in working with peptides - Track record of publications that reflect professional