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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
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basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have a PhD in physics, biophysics, biochemistry, physical chemistry, engineering, or a
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About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
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. Excellent communication, team working, and organisational skills are essential. Experience using state-of-the-art imaging software, image processing using Matlab or similar image processing platforms is
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, fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform studies on chick embryos, investigating
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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learning systems, including commercial products and research prototypes. The successful candidate will work alongside our dedicated software engineering team to design and implement a prototype AI tutor as
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the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems