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Field
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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offers excellent conditions for research of high scientific quality with clear industrial relevance. Read more about the division here: https://liu.se/en/organisation/liu/isy/fs . For more information
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contribute to the development of next-generation bio-based materials from forest resources. Within the GreenPolChem group and WWSC, this work will be performed in a highly interdisciplinary research
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representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
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candidate will lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department: https://www.slu.se/en/about-slu/organisation
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to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications. These applications include, but are not limited to, anomaly detection
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are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and experimentation to address
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foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https