25 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at University of California
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% Routine travel to community sites in Los Angeles and surrounding areas Schedule 8:00 am - 5:00 pm Union/Policy Covered RP-Research and Public Service PR Complete Position Description https
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separately • Application materials can be submitted online through Academic Jobs Online here: https://academicjobsonline.org/ajo/jobs/31334 , or to [email protected] with subject line ‘POSTDOC position
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EnCORE team members and the areas of research interest, please see https://encore.ucsd.edu/ Postdoctoral team members will also have mentorship opportunities and are expected to participate and organize
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. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu/ ) at the University of California Santa Barbara
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with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements
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: https://recruit.ap.ucsb.edu/JPF03041 Help contact: [email protected] About UC Santa Barbara As a condition of employment, the finalist will be required to disclose if they are subject to any final
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of recommendation. Apply link: https://recruit.ap.ucsb.edu/JPF03056 Help contact: [email protected] About UC Santa Barbara As a condition of employment, the finalist will be required to disclose if they are subject
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: Manage and organize qualitative research data, interviews, field notes, and research databases Support coding, analysis, transcription review, and literature searches Maintain archival records, research
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or particle Physics, or a related field, A strong background in either nuclear structure, electron-scattering theory/experiment, or global data analysis, Demonstrated expertise in scientific computing and code
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data. Implement, test, document, and maintain research software; integrate trained models with surface-hopping and related nonadiabatic or path-integral workflows and with relevant simulation-code