103 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Nature Careers in United Kingdom
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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. The Postdoctoral Research Fellow will: Conduct a programme of research towards achieving one or more these goals. This will include contributing to the design of experiments, growth of the necessary plant material
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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to these technologies to support the development of the project. The ideal candidate will hold (or close to completing) a PhD in biochemistry, biology, or a related field, with strong experience in molecular and cell
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range of methodologies including developmental and cell biology, cancer biology, next generation sequencing and computational modelling. The Hill lab encourages creative and independent thinking and
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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at the MRC Laboratory of Molecular Biology (LMB) to design and develop novel computational pipelines for the acquisition and analysis of behavioural and neurophysiological data as well as the development of a
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s