Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
30 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Environmental science
-
24th January 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Socio-technical Information Infrastructures through qualitative research
-
of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic influence. Tasks
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be part of a large scale national project
-
-environmental and geographical situatedness of work environments in the ancient Roman Empire contributed to the spatial spread of ancient cults. Using computational methods, the project examines how
-
architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
-
Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 15984 (COMPETE2030-FEDER-00712100) Is the Job related to staff position
-
of the temporal and spatial distribution of the generated emissions in the atmospheric layers after the re-entering launch vehicle has passed through is therefore crucial for drawing conclusions about their climate
-
designed functions; · Analysing code parameters, weight distributions, and dual structures; · Applying computational algebra tools (Magma, SageMath, GAP) for verification and experimentation
-
different VME types. Build predictive spatial models for VME distribution and resilience under future climate scenarios. Training The candidate will gain skills in: Deep-sea survey techniques using remotely