46 parallel-and-distributed-computing "Multiple" Postdoctoral positions at The Ohio State University
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with
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community ecology, bryophyte taxonomy, and species distribution models. The results of the work will be used to direct bryophyte conservation efforts. Required: Ph.D. degree in a field of biological sciences
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| School Biomed Sci - Biomedical Informatics Position Summary Join a research environment at the forefront of AI, cancer immunology, and precision medicine. The Ohio State University’s Department
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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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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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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
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Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
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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