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with a dissertation that includes a focus on host-microbe interactions, microbial community analysis, or microbial metabolism. Demonstrated expertise in one or more of the following: microbiome
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community analysis, or microbial metabolism. Demonstrated expertise in one or more of the following: microbiome sequencing data analysis (shotgun metagenomic, and/or metatranscriptomic), microbial
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in
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measurements (e.g., release kinetics, seed vigor) – 20% Data analysis, interpretation, and manuscript/report preparation – 15% Coordination of research activities and mentoring of undergraduate assistants – 10
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systems – 50% • Seed coating formulation, treatment evaluation, and analytical measurements (e.g., release kinetics, seed vigor) – 20% • Data analysis, interpretation, and manuscript/report preparation – 15
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of experience achieving impactful results including publications using relevant AI/ML/related techniques and genomic data analysis. Background in and motivation for genomics or/and biodiversity conservation
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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relevant AI/ML/related techniques and genomic data analysis. Background in and motivation for genomics or/and biodiversity conservation studies. Strong background in AI/ML fundamentals and extensive
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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in the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions