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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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to hire a post-doctoral researcher to work in any of the lab research areas, to be involved in the development of open source tools and resources, and to work on publications related to their work. CAMeL's
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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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theories, with the development of the mathematical constructions that are needed to provide such descriptions, and uncovering new geometric and topological structures arising from physical phenomena in high
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that interface with human stem cells, investigate cellular and molecular mechanisms governing development and pathology, lead experiments from conception through publication in high-impact journals, mentor
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involved in the development of open source tools and resources, and to work on publications related to their work. CAMeL's mission is research and education in artificial intelligence, specifically focusing
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to present and publish results in peer-reviewed journal articles Preferred Qualifications Experience in code development using C++/C/Fortran and parallel computing Knowledge of hypersonic/rocket propulsion
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device development. The successful candidate will contribute to research on silicon photonics and optoelectronic devices based, with applications in optical communications, sensing, and photonic computing
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and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate