307 programming-"the"-"DAAD"-"EURAXESS"-"U"-"FEMTO-ST"-"UCL" Postdoctoral positions in United Kingdom
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exploitative trade with African nations and links to colonial enterprise. Following our February 2022 Race Review and our Race Equity Action Plan, LSTM committed to becoming an actively anti-racist organisation
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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scientific programming and independently managing a discrete area of a research project are desirable, but not essential. The deadline for applications is midday on September 11 2025. Interviews will be
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and
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and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
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to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute