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Field
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Technology Eindhoven (CWTe). All PhD projects within Polaris are strongly connected to the industrial partners. Information In the rapidly evolving field of wireless communication and radar systems, the demand
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integrity. You will join the Web Information Systems group (WIS), and will be supervised by Dr. Avishek Anand (WIS group) and Dr. Justin Dauwels (Signal Processing Systems group). The research will span
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Distinguish noise and signal in data streams Change: Refined
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Machine Learning, Signal Processing and/or background in Cryptography, Computer Security Fluency in oral and written English, good presentation skills Interest in collaborating with a highly international
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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excellent analytical skills and is highly motivated and rigorous. Has good technical understanding of (or ability to learn) research design and methodologies as well as advanced signal processing and
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to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal vessels. These findings offer clues that can be used to better understand and to
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that is relevant to this project and on an overview of a recent project you worked on. Detailed information about the next steps in the application process will be communicated during the application
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language. - While our current digital infrastructure relies on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those
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check desired properties, with both academia and industry recognising its importance. Distribution is an integral part of innumerous computer systems, providing them with essential improvements to aspects