44 electrical-engineering-coding-theory Postdoctoral positions at Stony Brook University
Sort by
Refine Your Search
-
, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
-
multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based
-
with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
-
Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
-
experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
-
experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
-
. * Literature searches; staying current in the field by reading and discussing the literature and experimental results with the supervisor and PI. * Participate/Assist with writing and preparing manuscripts based
-
. * Development of MOLLER GEM detector prototypes and construction chambers, relevant simulations, and participation in engineering design efforts for various MOLLER subsystems, especially the toroidal spectrometer
-
data analysis. ● Literature searches; staying current in the field by reading and discussing the literature and experimental results with the supervisor and PI. ● Participate/Assist with writing
-
data analysis. ● Literature searches; staying current in the field by reading and discussing the literature and experimental results with the supervisor and PI. ● Participate/Assist with writing