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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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plant variety protection documents, statistical analysis, and the genomics of polyploid plant species. The incumbent will be responsible for analyzing datasets to prepare PVP packages and manuscripts
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with molecular assays (cell cultures, histology, PCR, Gel Electrophoresis, qPCR, etc.). - Experience with data management, statistical analysis (including but not limited to, probit models
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with various individuals and communities. Solid experience with qualitative and/or quantitative (at least one; both preferred) data analysis, including sufficient knowledge in statistical tools and
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assessment and evaluation of natural resource planning and management processes. Ability to select and conduct statistical analysis to describe spatial and temporal trends in water quality as a result of
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skills. Ability to work both independently and as a member of a multidisciplinary team. Ability to communicate effectively with a variety of audiences. Knowledge of advanced statistical models/tools
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datasets. •Knowledge of genomic selection, genomic prediction, GWAS, quantitative genetics, and statistical learning for crop improvement. •Experience integrating multi-omics datasets (genomics
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independently and as part of a team. Required Skills, Knowledge, and Abilities: -Well versed in statistics -Background in black soldier fly biology -Ability to conduct lab and field research Please attach to your
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, or livestock waste systems. Experience with data analysis, modeling (e. g., ammonia emissions or air quality models), and statistical software (R, SAS, Python, etc.). Demonstrated ability to conduct independent