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. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross
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web components, and plant disease assessments. Specifically, the candidate leads research including experimental design, planning, setup and sampling, data generation and analysis. Experiments could
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closely related discipline. At least 5 years of relevant research experience in agricultural data analytics, remote sensing, machine learning, spatial data analysis, sensor systems, or related areas
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or equivalent degree required. Preferred Qualfications Significant experience in behavior testing and bioinformatic data analysis is preferred. Additional Information: Location: Biomedical Research Tower (0112
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and analysis, interpretation of research findings, and preparation of scientific manuscripts, conference presentations, and grant applications. As the candidate gains experience and independence
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; develop projects, collects data, and conducts quantitative and qualitative analysis in new research projects designed as pilot work for new grant submissions; participates in bi-monthly research team
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deadlines and work collaboratively in an interdisciplinary laboratory setting. Desired Qualifications: Experience with next-generation sequencing (NGS) data, microbiome composition analysis, or within-host
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research experience, with strong experimental design and data analysis skills - Excellent written and verbal scientific communication skills - Ability to work effectively and collaboratively within a
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Required: Ph.D. in high energy nuclear or particle physics or a related field Required Qualifications: Demonstrated experience in data analysis. Skill related to the analysis of large-scale datasets (e.g
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production settings; 2) collaborating with the PIs Nolting and Arruda in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation