Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- INESC TEC
- Universidade de Coimbra
- Universidade do Minho
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Politécnico de Leiria
- Centro de Engenharia Biológica da Universidade do Minho
- FEUP
- Faculdade de Ciências da Universidade de Lisboa
- INESC ID
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Instituto de Telecomunicações
- Universidade Católica Portuguesa - Porto
- University of Algarve
- University of Aveiro
- 4 more »
- « less
-
Field
-
or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
-
coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
-
-source digital environments capable of emulating realistic scenarios of physical systems (power grid, railway and air traffic management) operation and human decision-making, enabling a direct assessment
-
well as the analysis of communication and processing requirements associated with the systems in question. The work will also involve processing and integrating data from hydrophones, DAS systems, and external
-
, promoting the sequestration of carbon dioxide (CO2). This work can be divided into two main parts, which are integrated and complement each other: Part A – Development and optimization of the CO2 fixation in
-
structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices
-
the research process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Support the operations of the MASSIVE Virtual Reality Laboratory and its activities - Collaborate
-
Conducting technical debugging, system performance optimization, and basic functional code verification. Documenting the code repository, technical architecture, and system workflow in a final report. V
-
, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
-
the fellowship to which they are applying. Prior knowledge and participation in research activities relevant to the selected project's research topic and work plan, from among the projects listed below, will also