280 web-developer "https:" "https:" "https:" "Fraunhofer Gesellschaft" Postdoctoral positions in Sweden
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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Sciences. The department is a vital part of BTH and has been so ever since its start in 1989. Our work is focused on activities that build competence for a modern digital product development that support
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social robots, as well as how children’s understanding of AI develops over time. The postdoc project is part of the recently established multi-site research group Child Development in the Age of AI and
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University Work duties: The research project will focus on the development of fluorine-free electronically conductive polymer binders for silicon-based electrodes in lithium-ion batteries. The project will
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; Telecommunications security, e.g., in the fields of 5G/6G, wireless networks, software defined networks (SDNs), and future Internet paradigms, underwater communications, satellite communications; Web security and
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL (https
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focuses on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally
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coupling where applicable. The present post-doc position will contribute and lead research in relation to the development and validation of techno-economic performance models for the design and operation of
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. This postdoctoral position at KTH focuses on developing advanced modelling frameworks and techno-economic analyses within two national research projects addressing virtual energy sharing and large-scale