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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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Field
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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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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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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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engineer and evolve bovine satellite cell lines with a variety of new and improved phenotypes, relating to (for example) suspension culture, signalling pathway activation and metabolic efficiency. Once new
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have: PhD degree in Human-Computer Interaction, Urban Sciences, Disability Studies, or related interdisciplinary fields. Personal or professional experience of working with people and communities living
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-coordinating internal scientific events and activities. What we ask of you The successful candidate will have: PhD degree in Human-Computer Interaction, Urban Sciences, Disability Studies, or related
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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extremely difficult for social, cultural, and scientific reasons. Analysis of these issues from an empirically informed philosophical point of view has been limited to date and is urgently required. In
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signal processing, with a strong emphasis on quantitative methods. The DAF Technology Lab is a university facility consisting of office space, three research cabins and two CAVE (Cave Automatic Virtual