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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job As a postdoctoral associate, you will work under the mentorship of Mark Osborn, PhD, contributing to cutting-edge research in
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experiments related to influenza and/or innate immunity 20% experiments related to influenza and/or innate immunity, write grants and papers 10% duties as assigned Qualifications Required Qualifications: PhD in
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data (10%). Qualifications Required Qualifications: PhD in
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qualifications must be documented on application materials. Required Qualifications PhD in neuroscience, psychology, cognitive science, or a related field. Strong experience in neuroimaging data acquisition
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of experience in both aquatic ecology and microbial biogeochemistry. This position will provide robust training in data collection and analyses, in addition to manuscript preparation; guidance in career
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on application materials. Required Qualifications: • PhD in Immunology, Cell Biology, or related biomedical sciences • In-depth scientific expertise in cell death, macrophage biology, and fibrotic disease
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical