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conditional on satisfactory performance and funding. Requirements PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with
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analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with faculty and students. This role provides an excellent opportunity to develop expertise
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background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling
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living laboratory ecosystem is a culture that values and rewards students, faculty, and staff for asking new questions, testing innovative approaches, embracing failure as a learning opportunity, and
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a "living laboratory" ecosystem. A living laboratory ecosystem is a culture that values and rewards students, faculty, and staff for asking new questions, testing innovative approaches, embracing
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presentation/publication of research findings. Candidates with a Biology and Biomedical Science related Master's degree or DVM degree in addition to a PhD are preferred. This position will require attention
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School toward a “living laboratory” ecosystem. A living laboratory ecosystem is a culture that values and rewards students, faculty, and staff for asking new questions, testing innovative approaches
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts
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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development Requirements A PhD in Biochemistry