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applicable. Preferred Qualifications PhD in data science, and/or public health or related fields including health services research, health informatics, computer science. Experience in data analysis using
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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. Participate in analyzing and disseminating data results as part of participation in group meetings. Prepare manuscripts, periodic reports, scientific papers/presentations, and grant proposals. Provide advice
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emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
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materials Operational knowledge of laboratory equipment for nondestructive testing of concrete materials Physical Requirements: Able to lift 50 lb load Qualifications Required Education and Experience PhD in
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. Qualifications Required Education and Experience PhD in Biomedical or Veterinary Sciences, Parasitology, Molecular Biology, Entomology or related field. None. Preferred Qualifications Expertise with the following
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing
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. The successful candidate will play a key role in advancing the laboratory’s research program through the development of new technologies, data analysis, and contributions to scientific publications and grant
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches