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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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domestic and international travel) Leading data management Leading data analysis Developing research materials (e.g., intervention materials, measures, forms, project newsletters, and recruitment scripts
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preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will successfully carry out experiments and analyze the data
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-FISH Preference is given to candidates with experience in RNA-sequencing, whole exome sequencing, and associated analytical pipelines Growth mindset and ability to adopt new data analysis modalities
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neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike sorting, neural signal processing) Excellent communication and collaborative skills A
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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qualitative analysis of program effectiveness. Develop, expand and implement educational initiatives for residents. Provide recommendations for enhancements, facilitate the training evaluation process
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qualitative analysis of program effectiveness. Develop, expand and implement educational initiatives for residents. Provide recommendations for enhancements, facilitate the training evaluation process
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups