209 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Cambridge in United Kingdom
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programme involves development of high-throughput experimental capability (at Imperial College London). Our group is supporting the experimental team at Imperial College London with development of intelligent
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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supervise for the Dissertation in Sociology. Teaching and supervising on the Sociology MPhil on the Marginality and Inequality pathway Leading seminars and classes on research methods or other topics
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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Research Support programme (TRS). TRS is a University-wide strategic initiative that aims to modernise research administration at Cambridge, eliminating operational inefficiencies and introducing digital
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reporting tools. You will have intermediate to advanced Excel skills in data manipulation and the presentation of financial information, good numerical problem-solving skills, attention to detail, as
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Programme and other scientific studies. Develop automated methods and software to support large-scale bioinformatics analysis. Collaborate closely with a multidisciplinary team of clinicians, biologists, and
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language technologies and to design transformative approaches to overcome them. The student will develop new methods for multilingual NLP that can be applied also to low resource languages. Research will
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datasets. This includes the processing and quality control of whole-genome sequencing data, methylation data, and RNA-sequencing data, as well as the development and application of computational methods
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one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational