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of aircraft with fundamentally different operational characteristics. You will simulate mixed-fleet operations in European airspace and analyze how they will impact the future air traffic system, as
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different rescripting strategies reduce the impact of emotional memories, and whether these changes in memory predict subsequent symptom reduction in a student population. This work will be followed by
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consortium partners and colleagues within the institute coming from different disciplines. Your duties You conduct innovative research on the locations of nature restoration and rewilding You develop and apply
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probabilistic generative models for networks; analyze real network data from different application domains; design efficient algorithmic implementations of the theoretical models. You will be supervised by Dr
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context. At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We
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where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just
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autonomously in - as well as collaborate on - the collection, coding and analysis of data, through doctrinal/literature research, focus groups and Delphi study; Present intermediate research results in internal
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a focus. Traditionally, this is done through iterative algorithms (‘trial and error’). In this project, we aim to develop a radically different approach where the correct shape is computed using a 3-D
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are focused on areas with high noise exposure: areas near the runway or final approach or early departure routes. Current noise models only consider a free propagation path from the sound source towards
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BlueVantage. Build a decision‑analysis tool to compare treatment options and support evidence‑based planning of wastewater treatment systems. Explore stakeholders’ acceptability of different implementation