18 computer-engineering Postdoctoral positions at Princeton University in Postdoctoral
-
, and technology and society, is developing an emerging research and teaching program in design that embraces Princetonâ™s commitment to the betterment of humanity through deliberative, informed, and
-
: 286084265 ***REVISED*** Postdoctoral Research Associate Location: Princeton, NJ Salary Range or Pay Grade: 65,000 Description The Department of Electrical and Computer Engineering invites applications
-
breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health. We seek
-
University is seeking a full-time Postdoctoral Research Associate. The Atkinson lab focuses on using protein engineering and synthetic biology approaches to control gene expression and metabolism in cells
-
of Engineering and Applied Science invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in
-
engineering, materials science, electrical engineering, or a related field. Have expert proficiency in the fabrication and testing of solution-processed electronic/optoelectronic devices Be familiar with
-
data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
-
living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
-
for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
-
searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs