14 algorithm-"Multiple"-"University-of-Cambridge"-"St"-"Eindhoven-University-of-Technology-(TU" positions at Stony Brook University in United States
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atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges, including global cloud
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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the Budget, Financial Planning & Analysis Office using multiple reporting tools including SUNY BI, Tableau, OBIEE, and Microsoft Excel and Access. This is a dynamic role that will provide the candidate
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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Qualifications: ● Multidisciplinary background (i.e. neuroscience, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e
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of digital technologies for individuals with mental illness. These technologies may include algorithms, wearable sensors, and apps for digital phenotyping, ecologically valid assessment (e.g., cognition