19 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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Pak, Billerud, among others). Read more at: FibRe at Chalmers The aim of the project is to develop strategies and methods for producing lignocellulose-based materials with good thermoformability
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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for a two year postdoctoral position to characterize the statistics of brain activity and relate it to the underlying network properties. Recent data has revealed the multiple ways brain activity
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postdoctoral to join our group working on thermal catalytic conversion of CO₂ to solid carbon. The project aims to develop efficient and electrified processes that transform CO₂ into valuable carbon materials
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of this position is to conduct independent research and develop theories and methodologies that help in improving the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a
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polymer characterization, especially by spectroscopic techniques, and biodegradation experiments. Research expertise, in the ability to inform about research and development work in written and orally As
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vehicles. The Postdoctoral researcher is also expected to develop mechatronic concepts for rail vehicles and implement these ideas as simulation models to validate the concepts. The projects you will work
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The research will deal with development
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, social behaviours for virtual characters and human-centered evaluation methods. Excellent research and peer-reviewed publications related to the areas above. You have well developed analytical and problem
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for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical