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respiratory tract disease status) to translate ambient/indoor concentration data into internal dose estimates. Contribute to statistical analyses linking IAQ and human biomonitoring (HBM) data to self-reported
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and Clinical Psychologist). Mentorship will include training in advanced quantitative methods, statistical consultation, and grantspersonship as well as guidance in professional development. o
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. Qualifications Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science
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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or
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levels in the hypothalamus, integrating these data with measures of cognition and disease risk. This mentored research appointment offers opportunities to develop an independent research direction, publish
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. The successful candidate will design and conduct independent and collaborative research, analyze and interpret data, develop new research directions, and prepare scientific manuscripts under the guidance
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such as multiplex proteomics. The postholder will contribute to the planning and delivery of ATLAS studies, prepare and clean large-scale datasets, apply appropriate statistical methods, and assist in
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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other duties as assigned such as training new personnel. Special Notes: The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and
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appropriate statistical and computational methods. Prepare manuscripts, presentations, fellowship applications, and contributions to research proposals. Collaborate across engineering, cancer biology, and