Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
interests, which include scalable Bayesian methods, spatial statistics, and statistical methods for massive or complex data, in general, and high-dimensional data analysis, statistical machine learning
-
Biodiversity Research in the Biodiversity Dynamics and Conservation Group, a team of about 30 persons. Our group studies patterns of biodiversity and biodiversity change at various spatial and temporal scales
-
- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
-
Generation Programme-Spain’s Recovery, Transformation and Resilience Plan 1. First project in which the successful applicant will collaborate: 1.1. Name of the project: “Impact of the spatial-temporal
-
the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The Centre d’Études Spatiales de la
-
) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated Scientist II or Senior Scientist to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high
-
improvement. Pursue and support grant-funded research through methodological design, analytic strategy, and dissemination. Conduct advanced statistical modeling (regression, multilevel, survival, and causal
-
screen. https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses
-
at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses
-
Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a