123 high-performance-computing-postdoc Fellowship positions at Harvard University in United States
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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comparative genomics and sequence analysis. We expect the postdoc to be able to work independently and contribute intellectually to broader research themes and directions in the lab. The postdoc (or research
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fabricating nanoelectronics and flexible electronics. An extensive experience in cleanroom nanofabrication is required. The postdoc is also expected to collaborate with other researchers to apply
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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associate), with expertise in comparative genomics and sequence analysis. We expect the postdoc to be able to work independently and contribute intellectually to broader research themes and directions in
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characterization of neofunctionalized enzymes in plant metabolism, 2) elucidation and engineering of biosynthetic pathways for high-value molecules from plants, and 3) identifying the native targets of bioactive
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu