282 development "https:" "https:" "https:" "UCL" Postdoctoral research jobs in Sweden
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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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 optimize existing
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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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publication list. You have well developed analytical and problem-solving skills. The candidate should have very good knowledge of the English language, such as written and oral skills since communication is
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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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and biodiversity for the future use and conservation of forests. More information: https://www.slu.se/en/wiforce . The work aims to generate new knowledge and contribute to the continued development
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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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drug discovery and development. This is done by capitalizing on the combined clinical and preclinical expertise from western medicine and Chinese medicine in a unique collaboration between Karolinska
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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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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