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participant inclusions, assessments, and experimental/narrative data collection. - Conducting qualitative and narrative analysis of data from both participatory and neuroimaging studies. - Managing
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Principal Investigator of the OrDOTime project, and a collaborator on the project. Literature review, design of behavioural experiments, data collection, data analysis, writing scientific articles
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candidate will lead research on the search for interstellar objects or Unidentified Anomalous Phenomena (UAP) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have
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requirements, and help mentor other group members. Ability to fill an important role in facilitating collaborations with multi-disciplinary teams. Preferred Qualifications Reliability analysis, regional risk
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quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis algorithms and connecting
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dynamometry. Develop and maintain analysis pipelines and ensure data quality across sessions. Prepare manuscripts, conference abstracts, and grant applications as first author and contributing author. Develop
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gene expression analysis (qPCR/RNA-based approaches), protein analysis, lipidomics/metabolomics, flow cytometry, or biochemical assays. Demonstrated ability to design and execute hypothesis-driven
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in citrus and other crop species, using viral vectors. The position also includes coordinating day-to-day lab operations and contributing to experimental design, data analysis, and manuscript
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implementation, literature reviews, data collection and management, qualitative and quantitative data analysis, development and evaluation of research measures, interpretation of research findings, and
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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