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Vacancies Postdoc position in open-source respiratory signal analysis (M3RESP) Key takeaways You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring
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(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
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circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research Leadership As a
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on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen the link
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field observations by including the local impact conditions on the blade with the cumulative damage analysis. Moreover, a predictive tool will be developed that allows site-specific analysis based
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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-conductivity room-temperature liquid metal (non-toxic and non-combustible) as the heat transfer fluid, aiming to achieve a 30% reduction in cost and a 50% reduction in critical materials. Your Role: The Heart
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interest in stress and cognition research. A master's degree is preferred, and experience with programming in R or Python, signal processing, or qualitative analysis is a plus. This is a full-time, one-year
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solution for repair and remanufacturing across industrial sectors. The research will address key technical and systemic challenges, such as component redesign for repair, integration of AM into existing
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systemic challenges, such as component redesign for repair, integration of AM into existing production and supply chains, and performance, sustainability or cost trade-offs compared to conventional