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Field
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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or more of chemistry, physics, mathematics, statistics and/or computer science. - Familiarity with one or more AI/ML software packages. Familiarity with relevant, domain-specific software packages
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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discipline, including publications in high-quality peer-reviewed journals and presentations at major conferences. Demonstrated high-level mathematical and computer programming skills. Where PhD has been
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bring: PhD in bioinformatics, computational biology or a related field. Experience or interest in applying computational methods to RNA/mRNA therapeutics. A demonstrated ability to publish high-quality
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, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will have a PhD and, ideally, a postdoctoral experience in computational