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of AI-enabled progress, through integration of domain expertise, physics-based models, simulation-driven learning, and sensor data processing. The new tenure track position at TU Wien targets
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students, fishers, diving clubs, beach lifeguards. Assisting with the creation of a species spotting network based on citizen science. Writing texts for and preparing research projects. Communicating with
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about ongoing research, publications and media can be found [here](https://jbaaijens.github.io). You will be part of [the Delft Bioinformatics Lab](https://www.tudelft.nl/index.php?id=24108) in
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
learning. The research will explore how AI-enabled adversaries manipulate ICS environments (e.g. robotic arms, sensor networks) and develop robust detection and response frameworks. By combining real-world
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venues across fields such as big data, computer networks, natural language processing, machine learning, and artificial intelligence. This dedication to research excellence is further highlighted by
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study qubit systems. A particular emphasis is on exploiting the manipulation capabilities of scanning probe microscopes to fabricate molecular quantum sensors on probe tips to detect the tiny electric and
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thanks to a complex network of sensors and control systems at various levels, that manage tasks such as air quality control, temperature regulation, and zone-specific environmental conditioning. Advanced
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invertebrate ecology or similar. Familiarity with a range of sensor technologies and innovative ecological monitoring approaches is essential, as is experience with emerging molecular techniques such as
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Lately, low-cost sensor devices have gained significant computing capabilities
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sensor. This involves close liaison with colleagues across campus, especially as part of the Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT, https://qusit.org/ ), partner institutions