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provides many professional growth opportunities in academia, entrepreneurship, and public service. Responsibilities include: Investigate cutting-edge techniques in system modeling, analysis, and optimization
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
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assessments. Data management and analysis. Appropriately code and de-identify data in an organized, systematic way and save data to appropriate servers and/or databases. Perform data cleaning and pre-processing
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data acquisition for single-cell analysis. Analyze and interpret spectral and image data, providing statistical insights that contribute to the optimization of the imaging methodology. Contribute
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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related
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(broadly defined, from school to the workplace). Demonstrates excellent written and verbal communication skills and use of rigorous, innovative quantitative and/or qualitative methods of analysis. Is
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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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retinopathy, real-time PCR, protein analysis, flow cytometry, and designing and breeding genetic models, transfections and transductions, cell culture, maxi preparations, and cloning. The position will provide
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-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled generation