Sort by
Refine Your Search
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
relevant technical software, such as Cadence, SPICE, Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but not required • Collaborative skills, student mentorship
-
experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. • Supervise other personnel in the laboratory; participate in
-
research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in
-
manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in the laboratory; participate in training
-
data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific
-
data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific
-
manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in the laboratory; participate in training