57 postdoc-computational-fluid-dynamics-2017 Postdoctoral research jobs at The Ohio State University in United States
Sort by
Refine Your Search
-
(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
-
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
-
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
-
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
-
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
-
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
-
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
-
: 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
-
analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
-
analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute