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Field
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primarily involves leading independent neuroimaging analyses and developing innovative analytical approaches to address the scientific aims of the lab. Multiple datasets are already available in the lab
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tools and pipelines for omics data analysis, including differential expression, pathway enrichment, and network analysis Experience with statistical analysis software (R, Python) and data visualization
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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) invites applications for the position of Postdoctoral Scholar. The selected candidate will statistically integrate multiple datasets to predict the movement dynamics of humpback whales in California across
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the reproducibility and robustness of quantitative MRI maps across multiple clinical MRI platforms (1.5 T and 3.0 T – Siemens, GE, Philips) using test objects (phantoms). - Coordinate MRI acquisitions on a cohort of
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. Basic Qualifications: A PhD degree in civil, chemical, or environmental engineering. A minimum of 2 years of experience in the use of Python for programming of data analytical models and algorithms
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and heterointerfaces. The postdoc will lead experimental design, data acquisition, and quantitative reconstruction. The appointees will work within a highly collaborative team spanning multiple DOE user
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multiple sub-arrays. In particular, developing methods for compensation of non-ideal system components and synchronization. Developed methods can be experimentally verified and tested on the Large
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, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines