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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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for the position will be important factors in the selection process. Additional useful qualifications Since appointment as a postdoctoral researcher is a career-development position for junior researchers, we
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also include technique development 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
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The interviews will start in November 2025. For more information about AMBER, application and evaluation process, visit: ambercofund.eu Minimum Qualification requirements are: Maximum 8 years after a doctoral
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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