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gene expression. The project will apply a wide variety of bioinformatic and statistical techniques to bulk and single nuclei functional genomic data generated by our teams (e.g., ChIP-seq, RNA-seq, ATAC
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PhD in engineering, computer science, statistics, or closely related field, either completed or “near completed” before starting. You should also hold sufficient specialist knowledge in deep learning
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within the team and lead grant applications on related topics. The suitable candidate must hold a minimum of PhD or an equivalent qualification in computer science, statistics, mathematics, engineering or
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PhD/DPhil in psychology or a related subject with a keen interest and experience in human cognitive neuroscience of decision making and learning. You will have excellent statistical, coding and data
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to be close to completing a PhD in Statistics, computer science, or a related field. They will have excellent communication skills, including the ability to write for publication, present research
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are required. Demonstrated ability working with the statistical programming language R, R markdown, and R Studio as well as data visualisation is also essential. Full details of the requirements for this post
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excellent statistical programming skills. Excellent interpersonal and communication skills, with the ability to work closely with key stakeholders and translate complex analytical concepts to a non-technical
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statistical methods. It is desirable that you have experience with neuroimaging and/or a background in neuroscience, experience with machine learning and/or advance regression methods and a track record of