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Field
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opportunity to play a central role in shaping scientific understanding—and policy decisions—on one of the most controversial and high-stakes topics in climate science. Grade F: You will have a PhD (or
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, natural sciences, computing, informatics and computer science. A PhD (or near to completion) or equivalent experience in Biological or Biomedical sciences, Immunology or Bioinformatics High level analytical
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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. Person Specification First degree in area of specialism and normally, a higher degree (PhD or near to completion) in Biophysics/ Biochemistry/ Chemistry/Chemical Biology/ Structural Biology or related
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funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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. Person Specification First degree in area of specialism and normally, a higher degree (PhD or near to completion) in Biophysics/ Biochemistry/ Chemistry/Chemical Biology/ Structural Biology or related
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Further information about the I-X Centre for AI in Science can be found at https://www.imperial.ac.uk/ix-ai-in-science/apply/ In addition to completing the online application, and consulting the Job
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submitted at the time of application) in a field relevant to urban economics, spatial econometrics, geography, urban planning, or data science, with a strong quantitative focus. Applicants should have