Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Ghent University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Centro de Engenharia Biológica da Universidade do Minho
- EURAXESS
- LNEC, I.P.
- Universidade do Algarve
- Universidade do Minho
- Universidade do Minho - ISISE
- Universitat Internacional de Catalunya
- University of Newcastle
- University of South-Eastern Norway
- 1 more »
- « less
-
Field
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 29 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
-
26 Mar 2026 Job Information Organisation/Company Universitat Internacional de Catalunya Research Field Computer science » Programming Mathematics » Algorithms Researcher Profile Recognised
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
of algorithms aligned with the needs of IT4Innovations projects. Full time equivalent: 0,5 - 1,0 Type of job contract: fixed term employment (ideally 1 year, or as agreed) Expected start of employment: 1. 5. 2026
-
problems, developing algorithms which have appropriate accuracy, precision, and speed. Write up and present results from own research activity and provide input into the project’s dissemination (technical
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
-
of Materials, analytical and numerical Data-Driven Engineering Design and Optimization Algorithms Surrogate Modeling (e.g., Kriging, Gaussian Processes, Neural Networks, etc.) Scientific Programming (e.g
-
quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
-
capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
-
the thermomechanical performance of the refractory masonry; Application of advanced statistical analysis algorithms, including sensitivity analyses and comparisons of different algorithm types; Development
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in