318 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" research jobs in Sweden
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- Chalmers University of Technology
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- Göteborgs universitet, Department of Marine Sciences
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provides links to research on water systems, recycling and bioenergy. Our work is aligned to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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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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includes, for example, the areas of labour markets, wellbeing and welfare, macro-financing, globalisation and econometrics. The position is specifically at the AI-Econ Lab at Örebro University (https
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Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting
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precision micromachining and 3D printing. Experimentally characterize cavitation dynamics, including mechanical, thermal, and chemical effects associated with bubble collapse. Contribute to the development
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103
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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