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at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious
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, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with
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to uncover patterns indicative of malicious behavior in early DNS, TLS, and infrastructure signals; building large-scale, real-time measurement systems; developing models to assess the risk of new domains
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that require ultra low power operation. In both projects we will work closely together with experts in electronic circuit design to realize the electronic interfacing for the sensors, in case of the flow sensors
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experience. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position. A motivation letter (max 1 page) emphasising your specific
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project is situated in the Strategy Economics research group. Building on the group’s expertise, the vision for this project is to apply economic theories like real options theory or signalling theory
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, architectural engineering, (applied) physics, applied mathematics, or a related field is required. Strong mathematical and analytical skills are essential. Solid understanding of numerical modeling and signal
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technology. As a PhD student, you join this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. You will join the Signal Process Systems (SPS
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage
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interactions and dynamic protein states are important for cellular identity. Aberrations in proteins drive oncogenic signalling and disease progression. The goal of the Oncode Accelerator Growth Fund project is