69 parallel-computing-numerical-methods Postdoctoral positions at The Ohio State University
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an exceptional opportunity to contribute to a multidisciplinary program exploring molecular mechanisms of resistance, novel antimicrobial strategies, and the epidemiology of resistant bacteria across healthcare
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| Computer Science and Engineering Postdoctoral Scholar in The OSU Natural Language Processing Group Two Postdoctoral Scholar positions are available in the Natural Language Processing Group co-led by Prof
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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Science and Mass Spectrometry. Post Doctoral Scholars are expected to lead analyses critical to the research program and to take initiative in contributing to the design of experiments involving enhanced
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microbiology, immunology, and cell biology research techniques and procedures including microscopy imaging; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research
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with Dr. Robinson on a research program on Traditional Governance in Africa, which is funded by the Mershon Center. The project evaluates how the history, institutional structures, and political
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental