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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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tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox of models, code
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models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox
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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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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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, with a grade of 8.0 or above on a ten-point scale (distinction or equivalent) for your thesis. If the MA thesis is not yet finished, we invite you to provide contact details for your supervisor in your
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of this innovation. However, achieving high polarization purity and polarization diversity in these systems remains a significant challenge, especially while scanning, crucial for minimizing signal interference
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mathematical machine learning theory and explainable AI. (This point is about your motivation, not about the courses you have taken.) Programming skills: You should have very good programming skills in Python
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process. · In your application, we ask you to indicate and motivate which of the two positions you are applying for. In the second stage we will also ask you to provide examples of (or a link to
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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