20 big-data-phd Postdoctoral positions at Washington State University in United States
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analysis of multi-omics data (including genomic, transcriptomic, and metabolomic approaches), fungal functional trait assays, phylogenomic analyses, culturing and molecular identification of fungal
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addition, the candidate is expected to work closely with growers, key industry stakeholders, and be involved in training students, keeping records, synthesizing data, presenting results at conferences and
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among farmers and other stakeholders via extension talks, presentations, and reports. Required Qualifications: Ph.D. in agronomy, soil science, or related field. Experience with data analysis and large
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, more tolerant to higher hive temperature and can effectively kill Varroa mites. Our study will also provide crucial information on how this microbial biopesticide might improve directly honey bee health
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of Metarhizium , more tolerant to higher hive temperature and can effectively kill Varroa mites. Our study will also provide crucial information on how this microbial biopesticide might improve directly honey bee
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among farmers and other stakeholders via extension talks, presentations, and reports. Required Qualifications: Ph.D. in agronomy, soil science, or related field. Experience with data analysis and large
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acid compositions valuable for biofuels and industrial products. More information about the Institute of Biological Chemistry and Bates lab research can be found at: https://ibc.wsu.edu/ . Required
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analysis of genomic, transcriptomic, and proteomic data from various sources, including in vitro experimental data generated in the MEZAP lab. The associate will contribute to feature engineering of
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excision repair across the genome of yeast and human cells; Analyze data using statistical software, bioinformatics tools and/or and scripts; Present their research through posters or oral presentation and
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: PhD degree in bioengineering, biomedical engineering, biophysics, computer science, kinesiology, or a related field. Experience in biophysics research with a strong computational background, or those