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has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with neuropsychiatric and severe mental disorders
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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of large and complex data sets, spanning brain imaging, genetics and clinical data. The goal is to reveal more of the genetic architecture underlying brain structure and function and to improve our
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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large amounts of raw data. Then the raw data must be processed in the sensor in order to be able to transmit compressed data or a condition description based on analysis of the raw data. Onboard
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especially relevant for sensor types that generate relatively large amounts of raw data. Then the raw data must be processed in the sensor in order to be able to transmit compressed data or a condition
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written communication Solid overall academic and professional background Relevant previous publications and development work. via Unsplash We offer Professional development in a large, exciting, and
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weight develoment, as well as risk factors for cardiovascular disease in women after childbirth. Data from Norwegian and Swedish observational cohort studies (NOWAC, SCAPIS) and randomized clinical
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a data infrastructure to study the connection between environment, genes, and mental health. It will gather and organize large collections of data on people's health, environment, and genetic
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methods to draw causal inferences from non-experimental data. The main data source is administrative register data linked with large-scale survey data and genetic data. The successful candidate should have