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, to design and optimize the control of complex industrial processes and systems. Key application areas include energy systems, opinion dynamics, robotics, and mechatronic systems, among others. For more
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support
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/activities Knowledge relevant to the field of research Research/publication record Ability to conduct research autonomously Ability to gather and share relevant information General interest in space and space
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models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique
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settings Where to apply Website https://www.academictransfer.com/en/jobs/354386/postdoc-position-on-reinforceme… Requirements Specific Requirements PhD in Computer Science, Biomedical Engineering, Data
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obtaining external funding and project management Where to apply Website https://www.academictransfer.com/en/jobs/354387/postdoc-position-on-deep-learni… Requirements Specific Requirements PhD in
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess