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development, computational tool implementation, and validation with experimental partners. The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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publications and contribution to collaborative proposals. Support of graduate student mentorship and lab coordination. Required Qualifications & Experience PhD in Materials Chemistry, Extractive Metallurgy
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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Chemistry Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. We conduct research in all areas of modern chemistry, and our research program is one of the strongest in the country with more than 300 publications annually and over 100 patents filed within the last
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Qualifications • Ph.D. in Chemical Engineering, Materials Science, Chemistry, or related field • Experience with computational modeling and simulation of polymers • Record of first-author publications Preferred
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry
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, crystallography, study of biomolecular interactions, genomics and proteomics is available. The department has access to powerful computational capacities used for computational chemistry, bioinformatics and