Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
-
the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
-
-dimensional catalog of approximately 30 million galaxies to analyze their spatial distribution and statistical properties, measuring the fundamental cosmological parameters that govern the evolution
-
science, machine learning and artificial intelligence, spatial statistics and environmental statistics, and statistical genetics and genomics. For more information, see http://www.stat.purdue.edu/ . Job
-
in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
-
and statistical consulting from experimental design to publication, resulting in close collaborations with experimentalists in every stage of the way. We have an outstanding record of publications in
-
society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
, although candidates are expected to have established strengths in spatial statistics and/or applied machine learning. Grounded in the CERC-NEST goal of connecting statistics with knowledge co-production
-
Engineering is seeking an employee in the field of remote sensing, geographic information systems and spatial planning with a desire to improve his/ her professional qualifications in the field of geographic
-
Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods