363 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in China
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fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial
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, with a strong interest in interdisciplinary research in biophysics. 2. Have a professional background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is
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intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
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postgraduate and undergraduate levels. • Demonstrated capacity or potential for future innovation in research and teaching is essential. Application materials Submit the following items online at https
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Charter of Macao Polytechnic University and be able to teach Machine Learning, Big Data Analytics, Learning Theories and Technology Integration, Innovations in Technology and Education, Thesis, etc. (taught
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: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image and video processing Technological
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psychology and related fields. The successful candidate will be expected to teach interdisciplinary courses in our Behavioral Science major, including Introduction to Behavioral Science, Mechanisms or Human
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candidate will be expected to teach several interdisciplinary courses in our new Philosophy, Politics, and Economics (PPE) major, which includes courses such as Introduction to Philosophy, Politics, and
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there is any problem with the online application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . To apply: Applications should be
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as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts