Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- University of Göttingen •
- CNRS
- Delft University of Technology (TU Delft)
- Norwegian University of Life Sciences (NMBU)
- Biology Centre CAS
- Indra Deimos
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute of Molecular Plant Physiology •
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- The Belgian Nuclear Research Centre
- UiT The Arctic University of Norway
- University of Birmingham
- University of Essex;
- University of Exeter
- University of Oregon
- University of Southern Denmark
- University of Stuttgart
- University of Warwick
- Università degli Studi di Brescia
- Uppsala universitet
- 13 more »
- « less
-
Field
-
Laboratory (URL) serving as the primary case study. The monitoring strategy combines in situ vibration measurements with advanced numerical simulations. Deep underground structures are strongly influenced by
-
help by: advancing the design of the structural glass window considering lateral loads but also aspects such as temperature effects, building physics, constructability, etc. performing non-linear
-
stable isotopes Cell extraction and molecular work Advanced microscopy Bioinformatics and statistical analysis Research infrastructure and study programme Work will be conducted at the Institute of Soil
-
Phenorob, we develop novel agrogeophysical methods to obtain noninvasive subsoil information that can be used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across
-
of space launch systems. Thus, SLICE will contribute to advance the science of climate change by investigating the three most pressing research areas of this field: Launch Vehicle Emissions, Atmospheric
-
farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity
-
, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
-
biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing
-
of space launch systems. Thus, SLICE will contribute to advance the science of climate change by investigating the three most pressing research areas of this field: Launch Vehicle Emissions, Atmospheric
-
used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across management scenarios using geophysics and numerical modeling. High-resolution subsoil characterization