Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- INESC TEC
- Universidade de Coimbra
- FEUP
- INESC ID
- Instituto de Telecomunicações
- Universidade do Minho
- University of Beira Interior
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Computação Grafica
- INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA
- COFAC
- Centro de Engenharia Biológica da Universidade do Minho
- Fundação Gaspar Frutuoso
- Instituto Português do Mar e da Atmosfera, I.P.
- Instituto Superior Técnico
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- International Iberian Nanotechnology Laboratory (INL)
- NOVA Information Management School (NOVA IMS)
- University of Algarve
- University of Minho
- 10 more »
- « less
-
Field
-
. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop real-time optimization algorithms • Model multi-vector energy-water-hydrogen systems • Support the development of digital twins • Test the
-
of the proposed solutions. Activities will include the implementation and evaluation of algorithms for signal processing, detection, correlation, localization, and tracking of acoustic sources, as
-
of the following tasks: Development of digital signal processing (DSP) algorithms and subsystems for optical communications, including support to multicore fiber transmission; Implementation of the developed DSP
-
models and algorithms using circuit simulation and design tools. The work will include the analysis of results, preparation of technical documentation and scientific publications, and dissemination
-
, allowing adapting to several conditions of use and to be managed automatically. AI algorithms will be selected, trained and tested. WP7 – Communication, dissemination and exploitation: Support for
-
3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
-
new results on the limits of coding against synchronisation errors and to develop new constructions of synchronisation error-correcting codes with efficient encoding and decoding algorithms. Place of
-
analysis of data from wearable and clinical monitoring devices and clinical databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation
-
wearable and clinical monitoring devices and clinical databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation of the work performed. 4
-
of developed algorithms and their deployment. Support in data collection and documentation of the work performed. 4. REQUIRED PROFILE: Admission requirements: Master's degree in Biomedical Engineering