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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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for leading research with mammalian animal model systems. Use multi-omic approaches to investigate the paternal and embryonic epigenomes. Have ample opportunities to collaborate with investigators and partners
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for preprocessing, integration, and modeling of heterogeneous data (spatial, temporal, tabular) -Conduct research in explainable AI and uncertainty quantification applied to agronomic decisions. -Collaborate with
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on research projects. Preferred Knowledge Skills and Abilities: Familiarity with survey design, data collection techniques, and both qualitative and quantitative data analysis (e.g., statistical software
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. -Experience in writing grant proposals and securing research funding. -Ability to present research at professional conferences and meetings. -Proficiency in experimental design, statistical analysis, and data
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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Description Job Responsibilities: -Conducts research activities on genome engineering in yeast, E. coli and arthropod systems in contained laboratory environment. -Design and assembly of synthetic DNA