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for the collection of in-situ mechanical testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by
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illumination effects. Coordinate optical measurements with the imaging teams; provide calibrated data, metadata, and analysis to ORNL and university collaborators. Develop instrument-control and data-analysis
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with skills in quantitative analysis and an interest in political theory, or in applied philosophy with proficiency in quantitative data analysis, will be given priority. An interest in developing
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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will be involved in the preparation of scientific manuscripts and competitive research proposals, contributing to the writing, data analysis and presentation of results. LanguagesENGLISHLevelGood
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications -PhD in chemistry -Organic synthesis. -Peptide synthesis -Chemical analysis (NMR, LC/MS) -Preparation of hybrid peptide materials
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separation systems, adsorption modeling, and data analysis. Hands-on experience in adsorbent material structuring/shaping (e.g., extrusion, pelletization, electrospinning) is highly desirable. Proficiency in
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. Actively participates and leads data analysis and the preparation of manuscripts, reports, and presentations. Assists the PI with the preparation of grant proposals. Assists with IRB submissions of ongoing
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indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real-world buildings, data analysis, and modeling
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clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation