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: heterojunction bipolar transistors, high electron mobility transistors (HEMTs); (2) Low-power devices: novel transistors (tunneling field-effect transistors, and Non-silicon metal-oxide-semiconductor field-effect
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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•Collaborate with members of Q-SEnSE Institute and QuSeC-TAQS project on the design and analysis of relevant experiments •Collaborate with theoretical AMO and particle physics researchers. AMO: atomic, molecular
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with the PIs and team members. Responsible for data management, analysis, and presentation of results to industrial partners and at relevant scientific conferences. Qualifications: A Ph.D. in a related
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for the analysis of long-time and/or large-scale molecular dynamics simulations in collaboration with the PI. The postdoctoral scientist will also collaborate with immunologists, molecular and structural biologists
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to advance the intersection of these fields requires extensive familiarity with experimental and computational analysis of soil communities, ecological theory, and familiarity with machine learning. We expect
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analysis of published studies and conference presentations. Help shape and refine research goals within the group. Qualifications PhD in Physics or related fields. To Apply: Applicants should complete
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experimental design and neuroimaging data analysis software (SPM, AFNI, FSL, Freesurfer, MRtric, etc.) is preferred Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University