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separation from frameworks. Excellent verbal and written communication skills, and excellent record of research accomplishments are preferred. Experience with modern sampling techniques such as metadynamics
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of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues
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assessment of environmental impacts of processes, such as life cycle analysis, is desirable. Strong attention to detail, excellent organizational skills, and exceptional verbal and written communication
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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communication abilities are essential. The candidate should be capable of working both independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical
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, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication
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cooperation with historical sociologists and economists. An experience in community outreach will add another hefty plus to such candidate. The position does not require teaching, but it may be possible to get
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to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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, with particular emphasis on smart mobility and urban transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for
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design of optical wireless communication systems as enablers of wireless access/backhaul of 6G and beyond networks. The PDA will be jointly supervised by Murat Uysal and Qurrat-Ul-Ain Nadeem. Principal