Sort by
Refine Your Search
-
specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific application areas
-
highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
-
, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
-
at the Gießener Graduiertenzentrum Kulturwissenschaften (GGK) are also open to all GCSC members: AG Moving Images: Theory and Practice AG Game Studies AG Europe's East AG Issues of Aesthetics AG Global South AG
-
, all these theories often assume a uniform protective mechanism, without fully considering the specific adaptations of EOM myofibers. Intriguingly, EOMs contain both singly and multiply innervated fibres
-
to advance the field by making the following contributions: (1) determining the types of life activities and experiences that lead to increased meaning and (2) examining whether the benefits of meaning
-
for Environmental, Safety, and Energy Technology (UMSICHT), the Max-Planck-Institut für Kohlenforschung (Institute for Coal Research), and the Max-Planck-Institut für Eisenforschung (Institute for Iron Research
-
of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
-
The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 2 days ago
. The range of expertise of the faculty provides rich coverage of the theory and methodology required for cutting-edge neuroscience research. The curriculum is structured in line with the graduation
-
the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with