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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) conditions. Your
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environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in
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the regulatory interactions regulating suberin biosynthesis in different root cell types? And are you interested in combining gene expression analysis with developing new experimental methods, such as TurboCas
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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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‑efficient to meet climate targets and address the economic challenges facing the sector. This postdoc position will develop circular design principles and methods in a project aiming to design an innovative
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to the validation of an innovative hybrid satellite digital twin, the Titan Forge, which includes hardware and software components emulating the behaviour of the complete mission. This can speed-up the development
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, spectroscopic and electrochemical methods) for real-time analysis of battery electrolyte streams; Design and validate data fusion strategies combining multiple sensor outputs into robust chemical information
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the nacre in seashells, by combining them with soft organic polymers. This project proposes a method to mimic this by using 3D-printed concrete as a scaffold to guide the growth of a chitinous fungal network