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, you will develop and test a Local Engagement Decision Tree (LEDT) that policy makers can use to choose and tailor the adequate citizen engagement approach, fitting for local context. To make this LEDT
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on these processes. Candidate regulators will be selected based on preliminary mass-spectrometry data and literature, and their effects on actin-based motility will be tested biochemically and microscopically. A
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metals. It will establish an integrated digital framework where materials research and testing provide the validated basis for Digital Twins and AI-driven decision support. The successful candidate will
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encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own line of research. Where to apply
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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covert methods such as nudging. As part of the research, concrete evaluation is envisioned through the virtual museum guide developed by the national Hybrid Intelligence Centre (https://www.hybrid
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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Intelligence Centre (https://www.hybrid-intelligence-centre.nl/), where an artificial museum guide that is knowledgeable about the exhibits presents visitors with information that is personally relevant
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) literature on public participation in decision making. Based on your research, you will develop and test a Local Engagement Decision Tree (LEDT) that policy makers can use to choose and tailor the adequate
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the electromagnetic performance of oxide coated electrical steel lamination. Explore its recyclability of eco-friendly electrical steel coatings. Where to apply Website https://www.academictransfer.com/en/jobs/362658