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computational methods for single-cell and genomic data analysis, in collaboration with the lab’s methods-development efforts. • Develop and apply flow cytometry, molecular biology, and cell biology assays
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implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with
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following: implementation science, HIV services research, pragmatic/hybrid trials, mixed methods, or applied public health data science. • Strong data analysis skills, including familiarity with Stata/R
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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, and collaborator calls. Maintains and develops up-to-date knowledge of current information technology techniques and tools, especially as they apply to epidemiological analysis. Other related duties as
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analyses. Contribute to data harmonization, data quality assessment, missing data strategies, data anonymization and data sharing procedures. Contribute to protocols, statistical analysis plans and reporting
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, geometry, dynamical systems, optimization, topological data analysis, harmonic analysis, statistics, or mathematical aspects of machine learning are encouraged to apply. The position is particularly suitable
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Epidemiology Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available
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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