37 computational-linear-algebra Postdoctoral research jobs at The Ohio State University
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-November. Required Qualifications: Candidates must hold a doctoral degree in economics, public policy and management, sociology, finance, public health, or computer/library/information sciences by the start
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics and computational aeroacoustics, including problem setup, simulation and advanced post
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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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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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, geriatrics, and advanced liver disease. Education: We educate trainees and practicing clinicians on primary palliative care principles from multiple disciplines and subspecialities. Our program has five ACGME
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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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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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and