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or more of the following topics: Cultivation of microalgae for wastewater treatment Processing of microalgal biomass into high-value bioproducts Modeling of nutrient and energy flows in controlled
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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conduct assigned research projects involving human tissue and fluid samples as well as mouse models. Responsibilities include animal tissue harvest and processing, flow cytometry and FACS sorting, neuronal
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research capabilities and a strong trajectory towards research productivity, including peer-reviewed publications and conference presentations. Requires successful completion of a background check; qualified
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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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“fit” with our program model; 5. Identification of potential training faculty mentors; 6. Transcripts from all educational institutions attended; and 7. Three letters of reference, including one from
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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modeling, and high-field NMR spectroscopy. The research will focus on the structural and dynamics of characterization of peptides, peptide analogs, and related molecules, and their interactions with specific