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independently and collaborate within a team structure Knowledge of plant breeding and selection theory Preferred Qualifications: Experience with herbicide tolerance and selection in breeding programs Supervisory
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
Spectrum of the ClSO Radical: Electronic Structure of the Sulfinyl Group.” The Journal of Physical Chemistry A, 127(40), pp.8374-8382, 2023. Field of Science: Planetary Science Advisors: Frank Winiberg
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
(ex. ONT, Pacbio), including variant calling (SNV, copy-number profiling, structural variation), quality control, and interpretation of germline and somatic variants. Preferred Qualifications
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that are relevant to their areas of interest. Our training program will include a comprehensive mentoring program; structured CPC Fellows research in progress meetings; and additional training activities focused
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diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and spectroscopic methods for structural and functional analysis. You have strong practical experience in synthetic
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surfaces. This work builds on our ongoing, long-term research program centered on spin-split electronic structures of quantum wells—an area that has attracted significant attention in the context
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9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job A Post-doctoral position is open in the new Lab of Prof. Elias. The research projects will involve research
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systems have identifiable material, structural, or spatial implications. The aim of your work is to contribute to the project by helping to establish a framework for understanding the relationships between
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery