Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
in our cutting-edge Operational Data Science Lab. We are looking for a dynamic individual who is passionate about computer vision and machine learning. In this role, you will develop innovative machine
-
want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
-
the following areas (though not limited to these): AI and Machine Learning Cybersecurity and Privacy Robotics and Autonomous Systems Cloud Computing and Edge Computing The Department of Computer Science prepares
-
graduate students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
-
students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
-
using statistical software (e.g., R, Python, SAS, or STATA) Experience in analyzing the data applying machine learning techniques Experience in various other analysis methods (e.g., multivariate
-
Geophysics. Candidates should have a PhD in geology, geophysics or related field by the time of this appointment, be within 5 years of their PhD and have not held a permanent or tenured faculty position
-
analytical skills and attention to detail. Ability to work independently and as part of a multidisciplinary collaborative team. Proficiency in spatial analysis, machine-learning methods, and planetary image
-
and creative work that propels adoption across multiple key industries including: media and entertainment, healthcare, military, manufacturing, aerospace Successful candidates must demonstrate
-
Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences