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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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you are highly motivated to do environmental fieldwork and remote sensing studies. You like to analyze complex spatial and temporal data sets and you are able and willing to critically reflect
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of future urban living environments. This broadened futures approach will expand evidence-based spatial modelling through the creation of experiences that connect possible alternative futures to the present
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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economic vitality, beyond income and business models, including regional collaboration and innovation, can be stimulated. The four-year PhD will culminate in a thesis comprising three to four international
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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. This requires an understanding of material flows and qualities. This project will develop the tools to model in sufficient detail the steel flows and evaluate the role and contribution of changes in (production
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
Universities). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development. Our individual choices model gives you some
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation