Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Infrastructure? No Offer Description Peatland Ecology Group, Department of Ecosystem Biology, Faculty of Science, University of South Bohemia, České Budějovice, CZECHIA https://www.prf.jcu.cz/en/peatlands We
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control
-
statistical workflows to analyse AUV and BRUV datasets collected along the Northern Ireland–Donegal Bay coastline. Using machine-learning and multivariate modelling approaches, they will quantify habitat
-
boundary layer. The candidate will first deploy a multivariate emulator of key variables governing Arctic sea ice dynamics, trained on high-fidelity simulations developed at IGE. This emulator will be
-
intelligence models, and visual analytics tools that integrate urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments
-
is typically 3-years and potentially renewable. The primary responsibilities are: teaching and coordinating entry-level courses through multivariable calculus and linear algebra training and
-
decision analysis. Essential criteria Excellent ecosystem assessment, multi-criteria and multivariate analyses skills Excellent economic valuation and participatory mapping skills, including advanced skills
-
. Depending on departmental need, these courses may include sections of entry-level calculus courses through multivariable calculus and linear algebra, a non-sectioned course taught independently, and possibly
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
-
learning, multivariate modeling, or data-driven approaches, as well as interest or experience in the integration of neuroimaging with genetic or transcriptomic data, is considered a strong merit. Prior