74 cloud-computing-phd-"Computer-Vision-Center" Postdoctoral positions at Michigan State University
Sort by
Refine Your Search
-
, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
-
systems, including embedded and resource constrained systems with various heterogenous computing topologies Additional responsibilities include Assisting with development of GUI software tools to
-
policy, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google
-
of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
-
analysis, scientific computing, PDE together with research experience in scientific machine learning, are particularly encouraged to apply. Required Application Materials Applications will be reviewed
-
associated with the Quello Center for Media and Information Policy in the Department of Media and Information at Michigan State University. The Quello Center conducts research to inform media, communication
-
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
-
Department of Media and Information brings together faculty from diverse disciplines to advance research in human-computer interaction, human-robot interaction, rural computing, game studies and design
-
Pathology or Microbiology Minimum Requirements PhD in Biological Sciences, Plant Pathology or Microbiology Experience with molecular bacteriology Ability to plan, organize and execute projects
-
interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI