34 deep-learning positions at Princeton University

Research Specialist I

of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information from functional MRI in real time. They will also have the opportunity to assist with the design, programming

Postdoctoral Research Associate

) Realistic energy transition pathways: Incorporate political economy insights into energy system modeling to better represent social and political realities; (2) Health effects of deep decarbonization

Research Specialist I

the lab of Professor Ken Norman. The Research Specialist will assist with the design and implementation of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information

Research Specialist I

of methodological rigor and clear records of upcoming and completed tasks. - Use existing software and deep learning tools developed in the lab to facilitate large-scale data analyses. - Apply developed data

Neuroscience Data Analyst

recognition using deep learning and custom Python scripts. ● Operating fluorescence microscopes (light-sheet, epi-fluorescence/slide scanner) ● Computer-based volumetric reconstruction of whole brain images

Course Materials Manager

Reporting to the Senior Instructional Designer in the McGraw Center for Teaching and Learning, the Course Materials Manager is the primary liaison between Princeton University and the online

Assistant Professor, Tenure-Track

distinction in research and publication; and evidence of a deep and successful commitment to teaching. The department values diversity among both faculty and students, and encourages applicants who identify as

Open Rank Faculty Position

University's educational mission and its desire to serve society. Members of the Geosciences department have a deep commitment to being inclusive. We believe that commitment to principles of fairness and

Postdoctoral Research Associate

modeling, deep learning/computer vision, time-lapse cameras and hummingbird behavior. Required qualifications: *A PhD in biology, genetics, physics, computer science or a related field *A very strong

Resource Manager

with a deep understanding of Excel (required). Detailed knowledge of Resource Management by Smartsheet (preferred). Strong analytical and problem-solving skills. Excellent communication and interpersonal