Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
-
circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and
-
Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
-
: 277987661 Department Schl of Public & Int'l Affairs Category Information Technology Job Type Full-Time Overview The Violence and Inequality Project (VIP) is seeking a full-time Programmer/Data Scientist
-
The Violence and Inequality Project (VIP) is seeking a full-time Programmer/Data Scientist. The ideal candidate will have a strong background in programming in R and Python, particularly in
-
not necessary. We welcome candidates with strong technical backgrounds who are looking for more exposure to economics. The position is structured to help individuals prepare for doctoral programs in
-
(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
-
exposure to economics. The position is structured to help individuals prepare for doctoral programs in economics by gaining valuable research experience. In addition to working closely with Center faculty
-
Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
-
development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas