Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
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
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
and Bayesian methods. Experience using DOE computing allocations (NERSC, OLCF, ALCF). A record of productive collaboration in multi-institutional projects. Special Physical/Mental Requirements Special
-
architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and benchmarking including jackknife resampling. Position
-
. Application of Bayesian mixing models to investigate consumer diets and food web pathways Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification