-
; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL
-
d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
-
development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and
-
of artificial intelligence on society, as well as broader questions surrounding the application of statistics and machine learning in social science. The position requires no teaching, though some mild
-
; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine
-
skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
-
on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will
-
for energy systems planning and operations, leveraging decomposition methods, machine learning, multi-scalar modeling, and other creative techniques. 2.Applied energy systems modeling: scholars will help build