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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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responsibilities for performing the approved experiment. This PhD position is embedded in the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project. This position is linked
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by
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(students, 4-5 PhDs, postdocs, PI) and external collaborators (e.g. University of Amsterdam, the UN, and Amsterdam UMC). Assist in relevant teaching activities at universities, such as thesis supervision and
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other researchers in the TRL Lab (students, 4-5 PhDs, postdocs, PI) and external collaborators (e.g. University of Amsterdam, the UN, and Amsterdam UMC). Assist in relevant teaching activities
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straining electricity grids, which are further challenged by the variability of renewables. Expanding grid capacity is both costly and slow. District heating and cooling networks (DHCNs) offer a smarter, more
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in a 5th generation district heating network. The key weakness of most models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior
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Hogeschool, working together with public and private stakeholders in the built environment, including ministries, municipalities, consultancies, and network organizations that have a similar aim. Accordingly
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative