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throughout the early phases of missions, including participation in CDF and phase A/B1. The Team also provides expertise to other projects and studies, including research and development of tools and methods
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this postdoc position, the focus is on methods and algorithms for large-scale graph analytics, in particular network science approaches for analyzing longitudinal, population-scale relational data derived from
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; develop the statistical analysis plan; perform statistical analyses on the associations of air pollution and heat with asthma and lung function, using standard methods (e.g. discrete-time hazard models
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University, Bahir Dar University, JKUAT, and the Ministries of Agriculture in both countries. The postdoc will work in close collaboration with the project partners and with PhD and MSc students in Kenya and
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researcher who is excited by fundamental research, method development, and interdisciplinary science at the chemistry–biology interface. Next to that you meet the following criteria: A PhD in Chemical Biology
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methods (New Approach Methodologies, NAMs) can be accepted more quickly by regulatory authorities. From both a scientific and societal perspective, you will contribute to a groundbreaking national programme
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a PhD in
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to the design and application of innovative chemical strategies, including crosslinking, proximity labeling, and biocompatible photocatalysis for method development and fundamental discovery. Key tasks in the lab
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Leadership As a Postdoc, your primary focus will be the application and further development of open-source LES methods (e.g., OpenFOAM, SU2) to simulate a wide range of Atmospheric Boundary Layer (ABL
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 18 May 2026 Apply now Contribute to one of the greatest