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/30157 Applicants must submit: 1) a NIH Biosketch or curriculum vitae, 2) a cover letter describing the applicant's interest, research experience, and available start date; 3) the names and contact
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Qualifications: ● PhD in experimental high-energy physics is required by the start of the appointment ● Strong record of accomplishment in data analysis ● Experience or interest in detector work or detector
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Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or fiber/textile engineering. Demonstrated experience in the design
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proficiency in SAS or R and experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized
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of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and
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Qualifications: Experience with analyzing multi-wave longitudinal and intensive longitudinal data, including survey and biomarker data from measurement burst designs. Evidence of independent scholarship, including
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for cleaning, annotating, and privacy-protecting student tutoring data to promote actionable insights at scale from extant tutoring data Experimental/quasi-experimental design and analysis of effective tutoring