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thermodynamics, with an emphasis on both theoretical and practical applications. Experience in machine learning and AI, particularly deep learning frameworks such as TensorFlow, and their application in fluid
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Vacancies PhD Candidate Infrastructure monitoring and NaTech disaster response with drones and machine learning Key takeaways The project is part of a large-scale research project funded through
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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better understand the emotional and brain changes that occur in aging. More specifically, Dr Ziaei’s group aims to explore how individual differences in emotion perception can help us to better understand
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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6th October 2025 Languages English English English The Department of Manufacturing and Civil Engineering , Faculty of Engineering, NTNU, has a vacancy for a Phd Candidate in Deep Learning for Real
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trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
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, our project seeks to bring self-learning to LLMs. But there’s a catch—unlike Go, there’s no easy way to score an LLM’s conversational move. In Go, the score is clear. In open-ended language games? Not
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual