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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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computational tools, pipelines, or algorithms to improve the accuracy and speed of genomic workflows, particularly for rare variants and noncoding regions. • Functional Follow-up: Implementing functional assays
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The postdoctoral research associate will work closely with the Ko Research Group to develop novel theories and algorithms for studying
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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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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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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
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PhD level with zero to five years of employment experience. Expertise in testing, characterizing, and measuring MEMS devices and designing feedback loops and control algorithms for the precise operation