45 computional-geometry-algorithm Postdoctoral research jobs at The Ohio State University
Sort by
Refine Your Search
-
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
-
, 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
-
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
-
of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental
-
engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
-
and Sciences | Physics Administration Post Doctoral Scholar will carry out a vigorous program of independent research, write papers for refereed publication, travel to conferences and other venues
-
supporting documentation via Workday with their application, including: Cover letter describing your research background, fit for the AquOTic program, including comfort in water-based environments, research
-
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