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Resistivity Tomography (ERT), seismic, and electromagnetic methods; · analyse and integrate geophysical datasets to characterize subsurface structures, buried infrastructure, and material properties; · develop
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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qualities We are looking for an enthusiastic and collaborative researcher with a strong technical background and an interest in societal impact. You have: a PhD in GIScience, geoinformatics, spatial data
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the films respond to external perturbations, such as molecular guests, light or charge. The focus will be on organic cages thin films as the key material class. The broader goal is to create robust, automated
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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the key material class. The broader goal is to create robust, automated set of synthetic and spectroscopic tools that connect molecular structure and organization, their properties and function. This is
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build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools
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motivated Postdoctoral Researcher to advance smart sensing and AI technologies for sustainable aluminium recycling as part of the Horizon Europe CLEANMAT (Smart Clean Aluminium Material Processing) project
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qualities We are searching for a candidate with the following qualifications: Fluency in Dutch and English; A PhD degree in social and environmental policy sciences or related disciplines; Expertise and
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a