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, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
or more of the aforementioned areas, preparing manuscripts for publication in academic journals and conferences, assisting in the development of research proposals for funding agencies, presenting research
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, implementation, and analysis of centrifuge experiments. Integrate findings with numerical models for validation and deeper interpretation. Assist in development of innovative experimental apparatus (SolidWorks
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development and pathology, lead experiments from conception through publication in high-impact journals, mentor graduate and undergraduate researchers, and contribute to grant writing and interdisciplinary
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-distance dependencies in Turkish (among other phenomena). The successful applicant will work with the PI to design the experiments, develop the language materials, recruit participants (native speakers
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designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based