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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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in the AMBER co-fund project please visit https://www.euraxess.se/jobs/341970 The interviews will start in November 2025. For more information about AMBER, application and evaluation process etc please
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of bioadhesives to better predict and optimise the production process and product properties, and thus ultimately expects to enhance the efficiency of the production process in different wood and fibre-based
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Are you passionate about advancing lithium-ion batteries and driving innovation in next-generation batteries? Do you want to transform advanced electrode processing for electric vehicle batteries
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on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
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and as part of a team. How to apply: The application (reference number FS 2.1.6-755-25) process is done via our e-recruitment system here:https://umustipendie.varbi.com/en/what:job/jobID:838323/ ), by