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PERFORMED Conceptualize novel project(s) related to objectives of the lab. Design and execute experiments investigating host immune responses to bacterial pathogens,macrophage biology, and host-directed
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discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required Experience working in and knowledge about sustainable agricultural systems/agroecology/agroforestry
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Experience working in and knowledge about sustainable agricultural systems/agroecology/agroforestry/ecosystem services/restoration Experience designing and collecting ecological field data in agricultural
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
is required. Experience in immunology, molecular biology and animal models Excellent written and verbal communication skills The ability to work both independently and collaboratively within a
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committed to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate. At UBC, we believe that attracting and sustaining a diverse workforce is key
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ideally work experience in, conducting collaborative, interdisciplinary research This postdoctoral fellow will be supervised by Juliet Lu and Hannah Wittman in the Faculty of Forestry and Environmental
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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive
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should be proficient in written and spoken English. Applicants must be eager to learn any necessary areas of quantum computing for this project. PREFERRED QUALIFICATIONS Expertise or experience with any
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for whole genome sequencing including co-ordination of external sequencing contracts and bioinformatics. · Contribute to study design, data interpretation, quality control, and experimental
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including co-ordination of external sequencing contracts and bioinformatics. · Contribute to study design, data interpretation, quality control, and experimental troubleshooting. · Lead genomic