81 parallel-computing-numerical-methods positions at Indiana University in computer-science
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For Faculty Affairs Location Bloomington Position Summary Indiana University Bloomington (IUB) invites applications for a tenured/tenure-track faculty position in the Luddy School of Informatics, Computing, and
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epidemiology, bio-health informatics, human factors, robotics, implementation science, and neuroscience. The position is part of Indiana University’s Faculty 100 initiative, a strategic investment in exceptional
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and Technology. As a part of the Faculty 100 strategic initiative , we seek candidates developing innovative experimental and computational approaches to understand, visualize, or therapeutically target
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of RNA Science and Technology. As a part of the Faculty 100 strategic initiative , we seek candidates developing innovative experimental and computational approaches to understand, visualize
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novel research methods, conducting in vitro and in vivo experiments, planning and managing research projects, interpreting data, preparing presentations and peer-reviewed publications, assisting with
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, optogenetic and chemogenetic manipulation, in-vivo imaging, and rodent behavioral methods. Department Contact for Questions Maritza McCabe @ [email protected] Additional Qualifications Special Instructions Priority
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novel research methods, conducting in vitro and in vivo experiments, planning and managing research projects, interpreting data, preparing presentations and peer-reviewed publications, assisting with
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. Additional Qualifications Preferred Qualifications: Master’s degree Salary and Rank Special Instructions Please provide: A cover letter describing teaching philosophy, instructional methods, and technologies
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and Technology. As a part of the Faculty 100 strategic initiative , we seek candidates developing innovative experimental and computational approaches to understand, visualize, or therapeutically target
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of RNA Science and Technology. As a part of the Faculty 100 strategic initiative , we seek candidates developing innovative experimental and computational approaches to understand, visualize