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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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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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research networks Demonstrated capacity to plan, coordinate, and deliver research projects, possibly involving multiple partners Teaching and Supervision Proven ability to contribute to curriculum design
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independently, complete projects in a timely manner, and prioritize multiple projects to ensure the completion of essential tasks by deadlines. Preferred Qualifications Proficiency with Python or MATLAB
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), and the Intelligence Community (IC). You would join a team advancing the state of the art in multiple areas of optical system development and manufacturing technology improvements, providing superior
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should be processed. This can include filters, FFTs, modulation, coding, multiple-antenna operations, hardware non-ideality compensation and a few other blocks. More recently, artificial intelligence has
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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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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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and their cognitive functions and vulnerability to mental conditions. By applying neuroimaging, genetics and network neuroscienceanalyses to MRI data from multiple species, the project aims to study the
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such as MATLAB. Develop and execute test plans to validate system functionality and security, ensuring all components meet the required specifications. Perform system configuration tasks using scripting