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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our University to support
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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administration. This is part of your personality: Completed doctoral/PhD studies in the field of psychology Outstanding dissertation Proven research competence & initiative through international publications in
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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required regardless of the Ph.D. degree; Experience with programming (Python, Java, Javascript, PhP, and others) Training in behavioral science research methods and statistical analyses. Experience with
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genetics consortia. To be considered for the role you will hold, or be close to completion of, a PhD/DPhil in in epidemiology, genetic epidemiology, molecular epidemiology, medical statistics or other
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well as future research areas for the whole lab. RESPONSIBILITIES: Collaborating with the project team (PI, 2 postdocs, 2 Phd students) to design and execute laboratory and field studies. Designing experimental
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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; microscopes. Proficiency in Microsoft Office (ex: Word, Excel, PowerPoint), knowledge of statistical software, array analysis software preferred. Must demonstrate willingness to learn new techniques, procedures