Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of Nottingham
- Technical University of Munich
- Newcastle University
- University of Siegen
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- AALTO UNIVERSITY
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Queen's University Belfast
- Tallinn University of Technology
- Technical University of Denmark
- The University of Edinburgh
- University of Birmingham
- University of Southern Denmark
- ;
- CIC nanoGUNE
- CNRS
- Centrale Supelec
- DAAD
- Eindhoven University of Technology (TU/e)
- Faculdade de Ciências e Tecnologia
- Fundació per a la Universitat Oberta de Catalunya
- Ghent University
- Grenoble INP - Institute of Engineering
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Instituto de Telecomunicações
- King's College London
- Lulea University of Technology
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Nicolaus Copernicus Astronomical Center
- SciLifeLab
- Swansea University
- Tampere University
- The Chinese University of Hong Kong
- UNIVERSITY OF VIENNA
- Umeå University
- University of Adelaide
- University of Antwerp
- University of Bristol
- University of Cambridge;
- University of Cyprus
- University of St. Thomas
- University of Vienna
- Universität Siegen
- Uppsala universitet
- Yeshiva University
- 43 more »
- « less
-
Field
-
equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
-
to predict the common distortions that occur when imaging into plant roots. From here we can either correct for these distortions using the hardware in the microscope or in software using reconstruction
-
equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in
-
of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
-
signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
-
. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures: Investigate and design optimal computing and communication architectures for hardware
-
validate methods on real robotic hardware and experimental teleoperation setups. Actively collaborate with industrial and academic partners involved in the project. Publish research outcomes in leading
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
30 Jan 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile Recognised
-
The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational