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Field
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in the training and day-to-day mentorship of graduate and undergraduate students in experimental techniques and data analysis and contribute to the safe operation of laboratory equipment and facilities
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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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work on topics related to AI, meta-analysis of scientific literature, and trustworthiness in AI. The scholar will have deep expertise in AI, meta-analysis, and/or social science. As part of their role
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observational studies using the James Webb Space Telescope (JWST). The successful candidate will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with
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the role of retrosplenial cortex in memory organization. The Post Doctoral Scholar will take a leading role in investigating changes in memory linking behavior across the lifespan. Required Education
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Doctoral Scholar will lead the microstructure analysis of refractory bcc/B2 alloys, including electron microscopy investigations of microstructures before and after mechanical testing as a function of
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of the project can be found here: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2338135 The Postdoctoral Researcher will be mentored by Dr. Andrea Stevens Goddard and will work with a collaborative research
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological