153 parallel-computing-numerical-methods Fellowship positions at Harvard University in postdoctoral
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psychometric testing; leading and contributing to peer-reviewed journal publications; publishing and presenting findings to a wide variety of audiences using different methods; activities to translate research
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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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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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these methods to address challenges in scientific discovery and precision medicine. We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric deep learning
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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provides researchers, students, and instructors with state-of-the-art methods, data, and software.. The Postdoc will: 1) work with other CGA team members to develop and offer state-of-the-discipline
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independently and as part of a team Additional Qualifications Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Experience with infant methods
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Paulsson lab is focused on methods for single cell biology, as well as antimicrobial resistance in bacterial infections. We welcome applications from recent PhD graduates who are interested in