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use deterministic algorithms based on time-frame and frequency of code occurrence to generate a large number of binary features. This project will compare that type of approach with NLP-based feature
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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and
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About the Role This role is responsible for supporting the development and delivery of marketing and communication channels for the School of Mathematical Sciences and the School of Physical and
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framework and regulations. You will lead the development and management of policies related to student casework, act as the first point of contact for students and stakeholders, and provide expert advice
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to develop their career in the Higher Education sector, with multiple career progression avenues and excellent in-house training. The successful applicant must have a minimum of higher education to A Level, or
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Material Science. The research is concerned with understanding structure-property-performance relationships of organic and hybrid semiconductor heterojunctions and using that understanding to develop better
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We (QMSU) are a democratic, membership-led charity that exists to improve students’ lives. You will support this mission by taking a lead in the support and development of academic societies as
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other demands About You We are looking for an experienced researcher to develop and deliver projects that leverage whole-genome sequencing at population-scale to identify rare, high-impact variants
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analysis, organ on-a chip development, small molecules testing, precision medicine trials, and development of a single cell platform. About Queen Mary At Queen Mary University of London, we believe that a