68 parallel-computing-numerical-methods "Fields Institute" Postdoctoral positions at Indiana University
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Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of
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pipelines for simulation experiments and analyzing genomic sequencing data; (2), designing, implementing, and overseeing research projects focused on methods development for understanding genetic
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opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be
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opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be
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of Computer Science, Luddy School of Informatics, Computing, and Engineering in the field of quantum computer science. As a part of the Faculty 100 strategic hiring initiative, IUB seeks scholars who
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Summary A Postdoctoral Appointee position is available in Dr. Tasneem Sharma’s lab at the Department of Ophthalmology and Glick Eye Institute, Indiana University School of Medicine. We are seeking a
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, oscillation, response-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB , R, or related computational environments
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candidates will join a dynamic and fast-paced research environment and will be responsible for the development of novel research methods, will conduct experiments using in-vitro and in-vivo approaches, will
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trigger. This work will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to
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successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and