Sort by
Refine Your Search
-
Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering
-
Job Purpose The successful candidate will contribute to a project focusing on remote RF Sensing and its applications in healthcare involving technologies for both sensing and communications, under
-
empirical and remotely sensed data Compilation of data for running a simulation model, model evaluation against independent data sources Assessment of future forest development under different management
-
species, in heterogenous forest and monocultures. The research approach make use of data from existing experiments, remote sensing and drone monitoring. In many cases the delivered models are supposed
-
system will be composed of robots having different sensing and acting capabilities: (i) the main drone team, which is in charge of collaboratively transporting an object; (ii) an aerial manipulator (i.e
-
of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU
-
effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions
-
/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
-
research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
-
for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant