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
-
: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
-
the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
-
the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
-
insulation systems. Implementation of simulation routines that allow for variable façade U-values based on local climate. Optimize the modular panel’s geometry to incorporate an air gap and any necessary
-
nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
-
-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the state of the art in the area of optimization applied to the energy area; - develop
-
breast cells; (ii) the design, fabrication and optimization of 3D systems (scaffolds and/or spheroids); and (iii) the evaluation of the developed environments under the effect of irradiation (and
-
Optimization of Innovative Edible Solutions Derived from OceaNo", reference CENTRO2030-FEDER-02476000, funded by COMPETE 2030 - Innovation and Digital Transition Program/PT2030, through co-funding from
-
to be achieved: The work plan falls within the final phase of the Koachy project, focusing on the scientific validation, optimization, and demonstration of the intelligent models developed throughout
-
during the grant is the design and implementation of a SQL-to-eBPF compiler that allows querying and correlating information about the state of the operating system. The work also aims at the optimization