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passionate about the Earth and its climate? Do you want to make a difference in science and the world? Do you get excited about satellite images and venturing out to remote places? This vacancy is part of a
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for an enthusiastic, dedicated researcher with a completed PhD to play a leading role in our research project, support and co-supervise other subprojects, and help build partnerships and projects. The postdoc position
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-saving practices. By focusing on local needs, government systems, and inclusive solutions for women and youth, the project aims to make lasting change. Partners include Alliance Bioversity-CIAT, Wageningen
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computational approaches, chemometrics, and model building for data fusion; Motivation to take ownership and independently tackle solutions to scientific challenges; Willingness to collaborate with and mentor PhD
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closely with PhD candidates, technical staff, and collaborators on stem cell culture, organoid and Chimeroid generation, tissue processing, and molecular profiling, while also taking a leading role in
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the project, as well as connect with our technical support staff. We expect you to also become a valuable part of our post-doc/PhD candidate community and connect with other scientific staff. Your duties and
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager
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overlapping pressures. Climate change, geopolitical tensions, energy risks, and shifting trade patterns make disruptions more frequent and difficult to manage. At the same time, companies must comply with
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(e.g. By CRISPR) and / or localization studies. Besides carrying out the research project, you will contribute to teaching PhD, MSc and BSc students. Your duties and responsibilities include
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at an unprecedented scale. Building existing infrastructures from, for example ODISSEI, the project centers around the analysis of population-scale datasets with advanced computational tools. By bringing together data