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Field
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developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI
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FSRF's research program. The CCA will provide mentorship and career development support to each FSRF as well as guidance on trajectories within and outside academia. The CCA's particular mission is to
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for use by Flatiron scientists. The CCA's mission is to create, develop, and disseminate computational methods, tools, and frameworks that allow scientists to build or analyze big astronomical datasets, and
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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to submit a professional development plan no later than one month after commencement of the postdoctoral period. It is expected that the successful candidate will be able to complete the project in the course
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable
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under the supervision of project and line managers. The role will include: Working with the colleagues to develop and implement an ambitious quantitative research programme To develop new models
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synthesis and evidence reviews Coordinating meetings to discuss the development of the programme of evidence reviews Providing briefings from evidence reviews and to draft full evidence review reports
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and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from EPSRC