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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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of the adaptive immune response to blood coagulation factor proteins deficient in individuals with the inherited bleeding disorder hemophilia, namely factor VIII and factor IX. The goal of the laboratory’s work is
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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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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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-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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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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Disorder, and Dementia with Lewy Bodies. The position involves direct human subject interaction and testing, the collection, organization and analysis of electrophysiological and kinematic data, and
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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
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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personalized learning experiences that are both effective and engaging. The first component of this work is to develop AI-augmented tools that enable elementary school-aged children to rapidly create