292 distributed-algorithms-"Meta"-"Meta"-"Meta" Postdoctoral positions in United States
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Field
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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neuroscience to investigate the emergence and progression of psychopathology. Develop novel computational tools, algorithms, and analytic pipelines to characterize brain network representations underlying mental
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records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings
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compliance with good laboratory practice including the maintenance of adequate research records. Engages in open and timely discussion with mentor regarding possession or distribution of material, reagents
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guidelines for the Postdoctoral Appointee-mentor relationship. Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, copyrightable and potentially
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distributed over 12 months. Specific courses taught could include Principles of Behavior Analysis, Behavior Assessment, Behavior Interventions, Practicum, and/or any additional courses dependent
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research records Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure
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. This project employs massive-scale genome sequencing, data that will enable a wide range of novel, independent projects. The project also involves a substantial theoretical component including algorithm
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine