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Field
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sensing provides large-scale and consistent observations, in-situ data collection remains a vital component for ground-truthing, model calibration, and validation of automated monitoring. However
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are expected to work as a close-knit team together with three PhD students to create a mutually supportive research environment. Candidates must be enthusiastic about building and working in a large
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available within the Department of Medicine, Division of Endocrinology in the Laboratory of Brain Behavior and Big Data at the University of Southern California. The applicant with work with PI and
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, and advanced data analysis. This role is part of a large-scale, multi-institutional consortium study aimed at uncovering novel insights into the genetic and molecular underpinnings of neurodevelopmental
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism