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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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, the historical research will have been completed. This intervention will also include educational programming aimed at public engagement. As a postdoc, you will not bear the full weight
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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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talents. You will join the PhD program at the Graduate School of Life Sciences https://www.uu.nl/en/education/graduate-school-of-life-sciences . More information For more information, please contact Dr
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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programme Molecular and Biophysical Life Sciences; willingness to obtain the University Teaching Qualification if you do not yet have it; a track record of international publications in leading journals; high
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you received during your master program, via the ‘apply now’ button. Please note that international candidates that need a visa/work permit for the Netherlands require at least four months processing
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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this postdoc with the conditions and support to advance in their academic and/or professional career. This research is funded by the EU as part of the Horizon Europe programme. Resources are secured