35 postdoctoral-image-processing-in-computer-science-"Prof" Fellowship positions at Nature Careers in United Kingdom
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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, quantitative field, e.g. atmospheric or climate science, meteorology, computer science, data-science, physics, mathematics, statistics, environmental science or related fields Evidence of a good understanding
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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crystallisation-driven self-assembly of polyester-based block polymers. The project will be hosted in the group of Prof. Rachel O’Reilly in the School of Chemistry. The post holder will be responsible
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Postdoctoral Research Fellow (Assay Development Scientist) Job details Salary: The starting salary will be from £42,882 up to £52,565 on Grade F, depending on qualifications and experience
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Job Title: Postdoctoral Fellow Details of the role: 4 yr FTC, full-time. Working pattern: Monday – Friday. Salary: From £45,500 pa with benefits, subject to skills and experience Application closing
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. The Postdoctoral Research Fellow will: Conduct a programme of research towards achieving one or more these goals. This will include contributing to the design of experiments, growth of the necessary plant material
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The Faculty wishes to recruit a Postdoctoral Researcher Associate or Fellow to study the biology of pluripotency in the team of Prof Austin Smith. These European Research Council funded posts
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Key Information Salary: Dependent on relevant Postdoctoral experience. This role is eligible for ICR Sponsorship. Support will be provided for costs associated with Visa application. If you are
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised