6 software-verification Postdoctoral positions at Princeton University in Postdoctoral
-
will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
-
to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
-
optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
-
candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
-
, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in optics, optical microscopy or imaging Prior experience integrating hardware and software
-
may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud