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. The successful applicant will join the lab of Bettina Schwab within the Biomedical Signals and Systems group of the department of Electrical Engineering at the Faculty of Electrical Engineering
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investigate how public agencies adopt and integrate AI technologies, what forms of automation and augmentation emerge, and how these developments influence organizational structures, professional roles, and
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to develop the next generation of plant-based dairy alternatives. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty in TU Delft, and work together with researchers
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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for analyzing block-like structures made of limestone and granite - Evaluation of data using acoustical imaging techniques and passive seismic monitoring - Carrying out measurements in a team of experts on and in
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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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are taking a big and necessary step toward revolutionizing the UAV based acoustic monitoring technology. Entry requirements: A minimum of an upper-class honours degree (2:1) or overseas equivalent in
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12.01.2026, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial
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12.01.2026, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial
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Application deadline: 31/01/2026 Research theme: Chemical Engineering This 4 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply