Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Innsbruck, Institute of Computer Science
- CNRS
- Cranfield University
- ETH Zürich
- Eindhoven University of Technology (TU/e); Published yesterday
- KU LEUVEN
- National Renewable Energy Laboratory NREL
- University of A Coruña
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Warwick
-
Field
-
systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
-
as well as the entire PhD course and research program are held in English only. There is no need to learn German for these positions.Preferred SkillsBasic Computer Science• Distributed systems (Cloud
-
algorithms * Parallel algorithms and distributed computing * Parameterized complexity and structural graph theory * Random structures and randomized algorithms * Sublinear and streaming algorithms
-
focus often neglects other dimensions of processes, such as the time between activities and the time required for specific steps, the spatial distribution of tasks across locations, or the intricate
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Energy-Efficient Machine Learning for Wearable and Augmented Reality
-
& Technology and Systems & Networking. The Parallel Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed
-
Experimental Sciences or equivalent training programs; - PhD Degree in Chemistry; - Training in DFT and CASSCF computational methods and molecular dynamics studies; - Experience in physicochemical and structural
-
Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-579 Is the Job related to staff position within a
-
encapsidation. In parallel, the Nano-DMS-MaP method will be used to assess the impact of m6A on RNA structure. In a second part, the PhD student will study the impact of HIV-1 infection on the host cell's
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse