Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Description The Research Training GroupGRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and
-
numerical groups More information on the Junior Research Group can be found under https://tu-dresden.de/mn/physik/itp/das-institut/ag/arbeitsgruppe-quantum-critical-matter?set_language=en . If you have
-
will be informed through NRF. More detailed information The annual call is published on NRF’s website from June on: www.nrf.ac.za/bursaries/calls It can also be found on the website of the DAAD
-
data to derive robust relationships between water chemistry, reagents, and interfacial flotation mechanisms Support model development and model parameterization (e.g., attachment/detachment kinetics
-
collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
-
collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
-
to what extent a subsidy will be paid, will be reviewed and determined on an individual basis (see important information for scholarship applicants , section F, point 8) Please note: Health insurance
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
-
Secihti call and go through a parallel application process. Please see the respective Secihti call here for further information on their selection process. The aim of the scholarship programme is to
-
human interaction, learning, and emotional engagement through multisensory integration and scene understanding. Predictive and Adaptive Systems: leverage multimodal data to predict human intent, improve