Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Netherlands
- Portugal
- Belgium
- Norway
- Switzerland
- Czech
- Denmark
- Finland
- Canada
- Spain
- Austria
- Estonia
- Poland
- Australia
- Singapore
- Hong Kong
- Italy
- Morocco
- United Arab Emirates
- Ireland
- Luxembourg
- Japan
- Brazil
- Iceland
- India
- Lithuania
- Slovakia
- Slovenia
- 23 more »
- « less
-
Program
-
Field
-
focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
-
community; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved
-
approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
-
the fundamental factors governing cation mobility in aluminosilicate materials through an integrated experimental-theoretical-computational approach. The research will probe the spatial extent and timescales of ion
-
applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https
-
geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
-
impacted their genomic diversity. The project focuses on Lepidoptera (butterflies and moths) as model system, that are currently threatened or vulnerable, which serve as important ecological indicator. By
-
, Digital Soil Mapping, Remote sensing (COPERNICUS data ecosystem), spatial data modelling, spatial analysis, neural networks, large scale datasets management with GIS, cloud computing, Big Data tools. You
-
microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
-
captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter