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Field
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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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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. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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for injection of chemical and viral vectors, and for implantation of multiple stimulation and recording electrodes. Designs, executes, and analyzes research studies using intracranial EEG data from animals
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fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 10 hours ago
Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities during the year to accommodate the needs and
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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) working groups) to investigate how symbology behaves under multiple overlapping data layers, varying background conditions, and operational display constraints, and to translate these findings