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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Published 11 Nov ’25
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for discussion of draft papers and memos; Coordinating co-creation processes and knowledge exchange activities with both academic and non-academic partners; Actively participating in consortium meetings, workshops
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-structure interaction of the Maeslant Barrier, combining field modal testing, numerical modelling, and signal processing to capture and interpret its dynamic response under current and future hydraulic and
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. Calcifications in the coronary arteries indicate the presence of (subclinical) coronary artery disease and their amount is recognized as a strong and independent predictor of heart infarction. Therefore, major
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Computer Science, Engineering or a related field. Experience in some or all of the following or related fields are preferred: biomedical image processing, image or signal processing, software development
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. They can be made small, cheap and are intrinsically safe. The heart of these sensors is a metal hydride sensing layer of about 10 nm providing the optical signal. Upon exposure to hydrogen, the metal
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signalling, protein-protein interactions, and cancer immunology, advancing our understanding of complex immune–tumour molecular engagement. Your job In recent years, we have developed new proximity-based
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the supervision of students and teaching activities. Job requirements PhD in a relevant field (e.g., electrical engineering, acoustics, or a related discipline). Strong background in speech signal processing
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applications. As a Postdoc candidate at TU Delft, working in close collaboration with a PhD student and our industrial partner Delmic and academic partner AMOLF, you will develop a proof-of-concept prototype
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variety of new and improved phenotypes, relating to (for example) suspension culture, signalling pathway activation and metabolic efficiency. Once new cell lines have been engineered and characterised, you
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(DSO) to resolve local congestion issues. The design of such an edge decision-making platform requires an understanding of distribution systems operation as well as machine learning and optimization