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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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, behaviors, tools, and methods employed in the innovative activity of individuals and organizations to drive desirable outcomes from inspiration to impact. Learn more about this emerging field and exciting
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Position Description The Institute for Physical Artificial Intelligence (IPAI) invites applications from exceptional scientists for its IPAI Research Fellows program to work with world-leading researchers in
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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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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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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Job Description Apply now Req Id: 38339 Job Title: Undergraduate research assistant City: West Lafayette Job Description: Job Summary This undergraduate student position provides support to Kevin Wiggins and the Research Support Services within the Libraries and School of Information Studies...
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning