48 postdoc-computational-fluid-dynamics Postdoctoral positions at The Ohio State University
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wildlife data from the Chicago area. Use various analytical techniques to answer questions related to wildlife disease dynamics, genetics, social behavior, and general urban ecology of mammalian predators
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer
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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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, confocal/multi-photon high resolution imaging, patch clamping. The Ai lab offers a unique, dynamic environment encompassing both basic science and translational research funded by the NIH. Qualified
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(IDI) at The Ohio State University. The IDI membership comprises over 200 faculty members from various disciplines, representing 10 colleges across the university. IDI brings together a dynamic research
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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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phosphatases in cancer and neurological disorder signaling pathways. Job Summary: The successful candidate will join a dynamic and motivated research team, utilizing an array of techniques in protein chemistry
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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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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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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