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disparities in supportive care medication (SCM) use, using national datasets (e.g., SEER-Medicare, SEER-MHOS), predictive analytics, and stakeholder-engaged methods. The lab is committed to actionable research
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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outside of the department (e.g., Advanced Methods at Purdue , Center for Brain, Behavior, and NeuroRehabilitation , Center for Early Learning ; and Purdue Institute for Integrative Neuroscience ). Position
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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period. Required Qualifications A PhD in genetics, evolution, ecology, biology, or allied areas that will have been awarded prior to beginning this position. Highly motivated with a strong work ethic and
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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: (1) Conducting high fidelity CFD simulations of combustion, heat transfer, chemical reactions, and phase change phenomena in industrial processes using commercial software. (2) Optimizing existing in
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available