Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
-
training and a significant track record in one of the following areas: -computational biology -computer science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
-
About UM6P & the Green Technology Institute Mohammed VI Polytechnic University (UM6P) is a leading hub for research and innovation in Africa, committed to driving economic and human development
-
focus on charge injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling
-
: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
-
Number: 54695 Job Description: The Russ College of Engineering & Technology's Institute for Sustainable Energy and the Environment (ISEE) at Ohio University invites applications for the position
-
/notice-nondiscrimination/ . Minimum Required Qualifications Ph.D. in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering, Robotics, or a
-
: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R