1,057 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"UNIV" PhD positions
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participation in the related Graduate School training programs. Qualifications The applicants should possess: An excellent or very-good university degree in Eonomics Strong analytical and methodological skills
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computational approaches, and the art of data visualization in complex but meaningful ways. The student will become an expert in using programming languages like Python and R. We work closely with highly
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scientific programming, e.g. using Python, is expected. As we work in international environment it is important that you have a good communication skills in both spoken and written English, and experience in
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value
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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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very good ability in evaluating and presenting data. Ability to work in a structured and autonomous way. The ability to independently plan, perform and evaluate research studies. Very good oral and
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programming, would be beneficial. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information
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, machine-learning schools, and participation in the AI for Science programme at RAL. Eligibility The position is open to all applicants, but funding is available only to UK/Home candidates. Applicants should
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and