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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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, working alongside postdocs, research staff, and students, as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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skills. Strong software development experience is a plus. Special Instructions Application requirements include CV, cover letter, and three publications. Optional documents include a statement of teaching
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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planning, analytical, organizational, communication, and decision-making skills ability to define and drive projects to completion while effectively collaborating with others enthusiasm for interdisciplinary
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in scientific research, which can be evidenced through publications, technical reports, or impactful software projects. Additional Qualifications Interest in applying programming language theory
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-being and resilience excellent planning, analytical, organizational, communication, and decision-making skills ability to define and drive projects to completion while effectively collaborating with