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Field
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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. The successful applicant will work closely with ORI Information Technology (IT), Electronic Research Administration (ERA), and Data & Analytics teams to develop and share best practices, understand available data
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generative AI pipelines to process multimodal data for downstream analysis, developing teaching/tutor/district-facing systems to surface analytic insights. Applicants with experience in some—but not
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complex chemistry, molecular metal compounds, homogeneous metal catalysis, organic synthesis, mechanochemistry of metals, as well as experience in analytical techniques including NMR, PXRD, HRMS and ICP-MS
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experience of mixed phase numerical or analytical flow modelling / solid mechanics / material characterization. Experience of analysing experimental data is highly desirable. You should have a record of
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. The successful candidate will play a key role in advancing the laboratory’s research program through the development of new technologies, data analysis, and contributions to scientific publications and grant
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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, or a related field with a strong focus on the bioactivity of flavor compounds. Methodological Expertise: Comprehensive knowledge in handling complex analytical instruments as well as molecular biology
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(including doctoral research) in an analytical chemistry laboratory. The ideal candidate will have strong skills in mass spectrometry (coupled with HPLC), data analysis, ability to handle multiple priorities
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analytical and sensing instrumentation, partly in cooperation with Faculty Centers. It comprises nanomicroscopic techniques, electrochemical techniques, mass-sensitive measuring science and molecular