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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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signal processing. Experience in programming (Matlab and/or Python and/or C) Analytical mindset Hands-on approach Good interpersonal and interdisciplinary communications skills Proven autonomic attitude in
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
engineering. Knowledge of and experience with signal processing is considered valuable, as is hands-on experience with experimental work. You are preferably a driven person, aiming for good research work and
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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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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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experiments have shown that ECs from different tissue origins have distinct capacities to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal
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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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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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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