14 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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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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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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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models
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including relevant 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
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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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), research is carried out in computer vision, robotics and machine learning. We are now looking for two postdocs in robotics and machine learning and computer vision. The successful candidates is expected
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research groups. https://www.aphys.kth.se/ https://www.albanova.se/ We seek a highly motivated postdoc to conduct experimental research in the Quantum Matter group at the Applied Physics department KTH
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the coordination of the research group and supervision of students. As a PostDoc, you will be an integral part of the growing Intelligent Heart Technology Lab, whose mission is to advance cardiovascular
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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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improve models and codes for assessment of the liquid source term during severe accident (SA) of LWR systems. In particular, research will include assessment of the characteristics of the containment water