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in spoken and written English are required. You hold a PhD degree in Neuroscience, Bioinformatics, Artificial Intelligence, Computer Science, Bio-engineering, or an equivalent discipline. Experience
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training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills - An enthusiastic
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car simulator facilities. Work in the project comprises human-factors research, artificial intelligence and data analytics. Do you want to know more about LIST? Check our website: https://www.list.lu
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skills and experience: Essential criteria PhD in computer science, cybersecurity, artificial intelligence or related field. Teaching and examining experience of computer science topics at MSc and/or
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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national, foreign and stateless candidate(s) holding a MSc degree in Computer Science, Computer Engineering, Human–Computer Interaction, Virtual Reality, Artificial Intelligence, or closely related fields
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of Geo-information Science and Remote Sensing. Where to apply Website https://www.academictransfer.com/en/jobs/357372/assistant-professor-in-remote-s… Requirements Specific Requirements You are/have A PhD
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with experience in data-intensive research, machine learning, and artificial intelligence are especially encouraged to apply. About the Department: The Department of Physics hosts active research groups
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
significant leadership in human-machine interfaces, distinguished funding success, partnerships with important industry leaders, and a demonstrated record of attracting highly qualified personnel
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new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records