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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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applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
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to Apply Interested candidates should submit the following documents via email: · A current CV or resume. · A cover letter describing research experience, interests, and career goals. · Contact information
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties: 1) Conduct research and provide technical assistance to the PI, students, and trainees on data analyses related
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-dimensional/multicolor panel design, immune phenotyping, and data analysis • Skilled in molecular biology techniques including RNA/DNA isolation, qPCR, ELISA, gene knockdown, and magnetic-assisted cell sorting
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: participate in the design, implementation and evaluation of research. Carry out and supervise laboratory experiments. Develop experimental procedures. Collect and analyze data, prepare and present data
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generation • Experience with RNA-seq data analysis • Strong written and verbal communication skills, demonstrated through peer-reviewed publications and conference presentations Preferred Qualifications
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Materials: • CV • Cover letter explaining qualifications • Contact information of at least 3 references are required Diversity The University recognizes and values the importance of diversity and
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prior to offer. Job Responsibilities Function 1 (5%) Support CBPR processes with the Advisory Board and Development Team Function 2 (15%) Help with qualitative data collection and data analysis Function 3