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://www.cosmos.esa.int/web/space-science-faculty/opportunities/research-fellowships Interested candidates should consult these pages to identify which of the establishments offers the most relevant environment
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pathology facilities, expertise in animal disease, and a strong network of national and international partners, we conduct comprehensive necropsies to identify mortality patterns and environmental threats
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
by taking software production as our main protagonist. We ask how software production has come to increasingly take place in an agile production environment we call ‘computational infrastructures
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vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer: A gross monthly salary
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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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best coding practices. Additional Information Benefits You will be appointed for a period of maximum one year full-time within a very stimulating scientific environment. The university offers a dynamic
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environment. The university offers a dynamic ecosystem with enthusiastic colleagues. With positive evaluation after one year, the contract can be extended. Your salary and associated conditions are in
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three years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues. Your salary and associated conditions are in accordance with
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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science, environmental modelling, geosciences, or related field with strong quantitative focus. You have a deep understanding of statistical uncertainty quantification methods, sampling strategies, and