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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
vehicles navigating shared road networks, AI agents coordinating in complex games, and human-machine partnerships in online platforms, AI assistants, and physical systems. While multi-agent interactions have
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domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run
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, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
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, complex hydrodynamics and hydroacoustics, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math
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focused researcher, driven to solve complex scientific problems independently and in a collaborative environment. Efficient oral and written communication skills are required. For information about the
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to student success and academic quality. Leads efforts to identify, engage, and mentor faculty champions and disciplinary experts to build a distributed network of pedagogical leadership across campus
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also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees, and support in advancing to the next career stage. This is a one
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institutions and industry partners. Our strong network of collaborators provides an ideal environment for translational research and technological advancement Mission Statement Michigan Medicine improves
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences