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immunology and personalised T cell-based therapies Systems medicine, multi-omics data integration and artificial intelligence Vascular biology and mechanisms of pathological remodelling Personalised
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field including Data Science, Information Science, Scientific Computing, Computational Science, Artificial Intelligence, Simulation, or Modeling is required prior to starting this appointment; One year of
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) a PhD in Math, Computer Science, Physics, Artificial Intelligence or similar field/ related discipline obtained no more then five years prior to the application date* 2) proven experience in designing
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or other forms of appointment/assignment relevant to the subject area. This must be clearly stated in the application. Applicants must have earned a PhD in Artificial Intelligence or a subject relevant for
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for chemputation working in a multidisciplinary team. You will have skills and/or interested in some of the following: artificial intelligence, organic chemistry, robotics, embedded firmware development, chemical
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in the following areas: Generative Artificial Intelligence: Human-AI interaction, Impact on IS education & Software Development, Organizational and Business Cybersecurity, Open Source Software. A track
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of Assistant or Associate Professor. Candidates with a special interest in artificial intelligence, quantum computing, cardiovascular or metabolic health, infectious disease prevention and management
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who also have exposure to or experience with integrating emerging technologies, including Artificial Intelligence, into their pedagogy. The School of Health and Behavioral Sciences offers undergraduate
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Data Sciences. This is an open rank search for all levels of appointment (assistant, associate, or full professor). We seek outstanding candidates from ALL areas of Artificial Intelligence and Machine
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x