Sort by
Refine Your Search
-
. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
-
Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding
-
Required: Completion of pre-doctoral internship (APA-Accredited preferred), experience with a broad range of clients (multiculturally and diagnostically) and completion of all doctoral program requirements
-
members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can
-
to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented
-
members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can
-
5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education
-
mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
-
computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models of reinforcement learning in the brain and
-
The Department of Computer Science at Princeton University is seeking applications for postdoctoral or more senior research positions in theoretical computer science and theoretical machine learning