99 parallel-computing-numerical-methods-"https:" Fellowship positions at Michigan State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, CST Numerical EM modeling with Matlab or equivalent software Experience with lab equipment such as VNA, signal generators and testing of radiating devices in anechoic chambers Required Application
-
a variety of methodological backgrounds, which is reflected in the mixture of quantitative and qualitative research methods we are using for this project. One important goal of our research is to
-
parallel projects will ensure the development of independent projects to support the long-term career goals of the applicant. Generally, the project will center around leveraging bacterial and mammalian
-
substantial training and demonstrated experience in ethnographic and qualitative fieldwork methods, including in-depth interviewing and participant observation; The applicant must show evidence of scholarly
-
independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
-
microscopy, -omics technologies, and high-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution
-
, recharge, and subsurface flow in intensively managed fields. This position emphasizes the use of noninvasive geophysical methods to characterize spatial and temporal variability in soil moisture
-
-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution analysis of root growth and soil interactions
-
emphases in the areas of traffic safety, operations, highway design, and the application of statistical and econometric methods to transportation data. The successful applicants will serve in a
-
, develop and optimize advanced MS methods in metabolomics (including EAD workflows), data analysis and support collaborative studies with Henry Ford Health. Detailed description of work/duties: Research