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an understanding of the ecological and evolutionary basis of adaptation and stress responses; demonstrated expertise in genomic data analysis and strong quantitative/bioinformatic skills, including relevant
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group interviews, workshops, and qualitative data analysis Candidates for this position must be legally authorized to work in the United States. Visa sponsorship is not available for this position Modes
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projects. 15%: Data analysis and dissemination in peer-reviewed publications Data sharing in presentations in regional, national, and international conferences. 10%: Train peers and junior research staff
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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identified in financial data, and then the analysis will be extended to social data (which has already been collected). The successful candidate will: Develop and apply Symbolic Transfer Entropy estimators
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and execution Data analysis, manuscript preparation Presentation of research to scientific meetings Training of other trainees in lab Required Qualifications Minimum of a PhD or Doctorate in
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; *Science, *2025). The project involves a combination of optical imaging, nanofabrication, data analysis
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experience in: Mammalian cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis
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Investigator. Additional Responsibilities Manage general laboratory operations. Design and perform experiments based on established protocols, assist with data analysis and interpretation, prepare publication