Sort by
Refine Your Search
-
Requirements Required experience includes: Significant experience implementing high performance sensor fusion and state estimation algorithms in real systems using, e.g., Kalman filters, particle filters, etc
-
positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
-
large-scale field experimentation to connect root system architecture to whole-plant performance and ecosystem outcomes. We seek creative, collaborative scientists to join the following track: Field
-
of this work is aimed at advancing next-generation and sustainable metal-sulfur batteries through the development of high-performance electrode/electrolyte materials based on earth-abundant elements
-
and potentially renewable on an annual basis through Spring 2030, contingent upon satisfactory performance and availability of funding. Candidates will be evaluated on their potential in research
-
renewable on an annual basis through Spring 2030, contingent upon satisfactory performance and availability of funding. Candidates will be evaluated on their potential in research and teaching
-
, please visit https://srcrandall.wixsite.com/research Salary will follow NIH guidelines for postdoctoral associates. This is an off-date position funded for one year from date of hire with possible
-
large-scale field experimentation to connect root system architecture to whole-plant performance and ecosystem outcomes. We seek creative, collaborative scientists to join the following track
-
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
-
Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction