Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity statistical learning and machine
-
. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
-
. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
-
primarily on NVIDIA and AMD hardware); a GR ray-tracing code (in Julia) that produces images and spectra from those simulations, and is designed to conduct Bayesian parameter inference; semi-analytic jet and
-
experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity statistical learning and machine
-
The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology
-
are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
-
Assistant Professor positions beginning August 16, 2027. We seek outstanding candidates with research interests in causal inference, Bayesian computation, statistics, machine learning, or related areas
-
Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent Research Fellow
-
the private sector. This project will directly impact various scientific fields, including chemistry, biology, and materials science, with applications in tech and medicine. (See https://www.nsf.gov/tip