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applies finite-field density functional theory (DFT)-based and machine learning (ML)-accelerated molecular dynamics (MD) simulations recently developed and applied in the TeC group at Uppsala (https://tec
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research in the Humanities Lab in close collaboration with, and under the leadership of, professor Panos Athanasopoulos . There are currently around 15 linguistic PhDs and 6 PhD students employed by
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Intelligence Research. Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and relevant field or a foreign degree equivalent to a PhD degree within machine learning
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Employers). Mathematical skills in, e.g., optimization and stochastic processes, are desirable as are excellent programming skills and experience with machine learning. Knowledge in wireless communication
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for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international
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the areas of automation, formal system verification, control, autonomous robots, machine learning, and AI. The Automation group is an integral part of the Department of Electrical Engineering (E2) which
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linguistic research in the Humanities Lab in close collaboration with, and under the leadership of, professor Panos Athanasopoulos . There are currently around 15 linguistic PhDs and 6 PhD students employed
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well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based
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, machine learning, information security, and data analysis. Further, experience with federated learning, transfer learning, GAN, and programming of distributed systems is helpful. The application must
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foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by