Sort by
Refine Your Search
-
, elaborate illumination profiles, and large computational domains surpassing several thousands cubic wavelengths. Furthermore, you will contribute to adapting the solver for massive parallel processing, as
-
, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
-
- Writing of reports and papers, including data analysis and generation of figures - Training of master students Selection process For more information please contact Prof. dr. Uwe Himmelreich, tel.: +32 16
-
derivatives to bio-chemicals on the anode side and simultaneously to generate green hydrogen in the cathode side. Subject description Energy engineering concerns the development of technologies and processes in
-
profiles, and large computational domains surpassing several thousands cubic wavelengths. Furthermore, you will contribute to adapting the solver for massive parallel processing, as well as develop new
-
an experimental one and concerns studies of mutual neutralization processes using the double electrostatic ion-beam storage ring, DESIREE. Mutual neutralization is the process in which an electron is transferred
-
overview of translational regulation during development. In parallel, you will uncover the mechanisms that control localized and cell-type-specific translation, and how these change across developmental
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
-
information through parallel channels—manual signs, spatial grammar, facial expressions—operating simultaneously in 3D space, presenting unique computational challenges for cross-modal alignment. The project