100 parallel-and-distributed-computing-"DIFFER" Postdoctoral positions at The Ohio State University
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reviewed on a rolling basis beginning mid-November. Required Qualifications: Candidates must hold a doctoral degree in economics, public policy and management, sociology, finance, public health, or computer
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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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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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individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race
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respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and
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differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation
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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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differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute