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Field
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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passive acoustic monitoring and/or acoustic signal processing, with a preference for candidates with experience in the deployment and recovery of marine acoustic recording systems. Specifically
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-economic losses and damages. However, there is a point at which the additional improvements in human and ecological capital that more adaptation would bring may not be worth the additional investment. Stated
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microfabrication techniques, additive manufacturing, electrophysiology, signal processing is a plus. Self-Motivated: Strongly self-driven with excellent problem-solving skills, ready to tackle complex challenges
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the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is
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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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the relationships between megasynthase structure and catalysis. The work entails additional opportunities to explore (1) the enzymology of as-yet undiscovered natural products and (2) mechanisms of bacterial signal
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cooperation with other staff in the Directorate. ESA’s Actionable Climate Information Section is the focal point of the Agency’s climate-related activities. It is based at the European Centre for Space
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior