110 parallel-programming-"Institute-for-Basic-Science" Postdoctoral positions at Michigan State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Python and R programming for statistical modeling, data visualization, and integration of large-scale genomics datasets Participate in the design of strategic data acquisition plans to support ongoing
-
Computer programming skills Desired Qualifications Experience developing computational tools for biomolecular systems Experience training machine learning models Experience working in a collaborative
-
development for brain-cerebrovascular system. The successful candidate will work on and contribute to ongoing research projects that solve problems related to the brain by developing multiscale/multiphysics
-
Position Summary The Hulin lab @ MSU is excited to welcome applications for a molecular plant bacteriologist. They will work collaboratively on projects focused on plant pathogenic bacteria evolution
-
engaged in basic and applied research. Researchers have access to state-of-the-art facilities and numerous opportunities exist for postdoctoral scholars to enhance their training and professional
-
integrating geophysical data with groundwater or vadose zone models Familiarity with irrigation systems and agricultural water management Programming experience (e.g., Python, MATLAB, R) for data analysis and
-
terrestrial laser scanning technology to capture structural and functional elements of different agroforestry practices and development of protocols for quantifying productivity of such systems. The
-
experimental sites as needed for deep core soil sampling. Analyses of root scans and measurements of soil properties. X-ray computed tomography scanning of soil samples and image analyses. Analyses
-
The Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University invites applications for a postdoctoral position. Candidates are expected to have received a
-
, economics, or computer science. A background or a strong interest in more than one of these areas, for example, in data science and economics, is a plus. The applicant must also show evidence of scholarly