Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Sweden
- Netherlands
- Portugal
- Czech
- Denmark
- Canada
- Italy
- Spain
- Switzerland
- Austria
- Belgium
- Finland
- Singapore
- Poland
- Australia
- Norway
- Hong Kong
- Ireland
- Morocco
- United Arab Emirates
- Estonia
- Brazil
- Japan
- Romania
- Croatia
- Greece
- Luxembourg
- Taiwan
- 22 more »
- « less
-
Program
-
Field
-
options include Climate Change, Mapping Environmental Issues, Environmental Spatial Analysis, Environmental Geographic Systems, Natural Science and Environmental Problems, Environmental Policy, Green Energy
-
vibrations induced by railway traffic, using nonlinear and spatially varying metamaterials. Despite decades of research, low-frequency railway vibrations (4–20 Hz) remain a persistent challenge, affecting both
-
analysis of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data). Experience in R or Python. Application instructions: Please send a CV and a brief cover letter describing your
-
website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
-
, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
-
learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
-
the development of novel genomic assays involving single cell and spatial genomic experiments and state-of-the-art imaging analysis. You will also utilize your project management skills to prioritize and manage
-
mechanistic studies in nutrition health associations. https://www.ars.usda.gov/plains-area/college-station-texas-rafsru/responsive-agriculturalfood-systems-research-unit/ The research of the Responsive
-
-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
-
alterations in host cell metabolism during lytic viral infection, with an emphasis in spatial metabolic signatures. Classical biochemical and molecular biology approaches as well as state of the art