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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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available projects . Please indicate in your cover letter which of the following projects you're interested in: PhD 1: A collisional model for dust aggregates, based on continuum mechanics PhD 2: Dust
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of this response is the cardiac fibroblast, a supportive stromal cell that plays a crucial role in the scar-forming process. While we have made significant progress in understanding the biology that separates
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excitability, have been shown to be necessary for memory formation. Still, it remains unclear how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will
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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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one month and 30% within one year after hip fracture surgery. It is therefore crucial to monitor patients’ health condition continuously and accurately after surgery to measure and evaluate patients
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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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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