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. Qualifications Preferred Skills Analysis of shotgun metagenomics sequencing and metabolomics data Integration of single-cell RNA-seq with proteomic and metabolomic datasets Application of machine learning and AI
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 2 hours ago
investigate approaches to harmonize diverse clinical trial datasets, and analyze complex data across multiple studies. Through this, you contribute to developing analytical tools for rapid regulatory response
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ADNI studies The position is primarily focused on advanced statistical analysis and data integration. While machine learning and computational approaches may be applied where appropriate, the core
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in stratified media; building synthetic observables from simulations. Signal processing / spectral analysis relevant to convection and waves (e.g., spherical-harmonic or Fourier analysis, power spectra
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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processing / spectral analysis relevant to convection and waves (e.g., spherical-harmonic or Fourier analysis, power spectra, cross-spectra, filtering, mode fitting). Inverse problems / inference applied
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the lifespan with a particular focus on the developmental span extending from childhood through young adulthood. Ongoing projects in Dr. Miller’s lab include (1) utilizing integrative data analysis to harmonize
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction