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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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, computer science, biomedical engineering, or a closely related area. You will have experience in one or more of the following: (non-autonomous) dynamical systems, complex networks, bifurcation theory
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. The successful candidate will contribute to this emerging field of AI-driven X-ray experimental science through the development of novel X-ray spectroscopic imaging experimental modalities, the design and
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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(or near completion) in a relevant discipline (e.g., data science, computer science, engineering, statistics, or a related field) or equivalent research experience. You will have demonstrable expertise
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Biology team leader, you will also work alongside colleagues in the Screening and In Vivo teams and with medicinal and computational chemists to progress projects from target identification to in vivo proof
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in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and
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Postdoctoral Research Associate ( Job Number: 26000319) Department of Computer Science Grade 7: - £38,784 to £46,049 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Working
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics