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data (pavement, traffic, weather, or similar). Knowledge of pavement engineering and pavement deterioration modeling is a merit. Ability to work both independently and collaboratively in a
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that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
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fluid dynamic simulations Experience in modeling and testing fuel cells Motivation to collaborate with other international research groups Great emphasis will be placed on personal skills. Join us at KTH
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cities in implementing effective climate action strategies through spatial planning. The appointee will be responsible for leading the modelling work on this project and coordinating the research and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description In recent years, AI models have shown remarkable
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vehicles. The Postdoctoral researcher is also expected to develop mechatronic concepts for rail vehicles and implement these ideas as simulation models to validate the concepts. The projects you will work
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
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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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employment decision is made. Doctoral degree in remote sensing, geoinformatics, computer science, or a closely related field. You have experience developing and applying deep learning models for Earth
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of burnup simulated doped UO2 fuel (ADOPTTM SIMFUEL). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in collaboration with Westinghouse and