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. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class faculty where
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be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class faculty where staff and students work together in a
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center for international staff will help you on the way and make you feel welcome to Leiden. Research at our faculty CML is positioned in the Faculty of Science which is a world-class faculty where staff
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; An academic, creative, and open mindset; Good to excellent proficiency in English is required; Research at our Faculty/Institute The Leiden Faculty of Science is a world-class faculty where staff and students
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Benefits Research at our Faculty/Institute The Leiden Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by
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is available from 01 September 2024. For more information about the position and how to apply, please visit https://jobs.strw.leidenuniv.nl/2024/VidottoPD Leiden Observatory is a lively world-class
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A PostDoc (1fte) related to the EU Horizon project RESOURCE on simulating and analyzing the up-takin
communication skills. Research at our Institute/Faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where
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A PostDoc (1fte) related to the EU Horizon project RESOURCE on simulating and analyzing the up-takin
are a plus. Ability to work in a team. Proficiency in English and good communication skills. Additional Information Benefits Research at our Institute/Faculty The Faculty of Science is a world-class
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at the Leiden Academic Centre for Drug Research (LACDR). You will be part of the Image-Based Computational Biology group (IBCB) . Faculty The Faculty of Science at Leiden University is a world-class faculty where
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, remote sensing, earth sciences, computational archeology, or a related field. Strong quantitative skills including data analysis, statistical analysis, and data management. Experience in Python programming