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it is important to assess their performance, sustainability and safety, to maximize their positive effects. The Unit achieves its objectives by combining pre-normative experimental research and desktop
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. This is achieved by working closely together with the different wind farm operators within the Belgian offshore zone, e.g., Parkwind, Norther, Otary. The main focus of the department is on performance
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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strategies. Job description As part of the EU-funded Innovative Training Network (ITN) 'WATER', you will perform leading research on new ways to characterize water transport through membrane channels
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measurements from optical techniques such as white light interferometry. The selected candidate will contribute to the group’s R&D output and carry out the following tasks over the 4-year PhD: Perform 3D
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or pharmaceutical sciences, or will have obtained it by the time you start to work. Outstanding academic study performances according to ECST grading scale. FELASA C degree (or EU equivalent) for possible handling
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distribution of active sites and guide future catalyst design. Structural insights will be correlated with catalytic performance metrics, provided by project partners, to identify the role of material structure
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or pharmaceutical sciences, or will have obtained it by the time you start to work. Outstanding academic study performances according to ECST grading scale. FELASA C degree (or EU equivalent) for possible handling
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balance privacy and data protection with data utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student