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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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research and career developments (max 2 pages) contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered. Welcome
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professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any
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following: Energy management and control for energy islands, Electricity and ancillary service markets, Programming (e.g., Python, GAMS) and power system simulation tools, Development of measurement and IoT
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past research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you
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of past research and future research interests (no more than two pages), Contact information of at least two references, Copy of the doctoral degree certificate, and other certificates/grades that you
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you: describe your background and research experience in relation to the project how the position and project fits your future career goals Copy of PhD certificate or certificate by your advisor/head of
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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in relation to the project how the position and project fits your future career goals Copy of PhD certificate or certificate by your advisor/head of department regarding expected graduation date