Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- INESC TEC
- Universidade de Coimbra
- Instituto Pedro Nunes
- University of Porto
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- FCiências.ID
- FEUP
- INESC ID
- Instituto de Telecomunicações
- Faculdade de Ciências e Tecnologia
- ISCTE - Instituto Universitário de Lisboa
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto Superior de Economia e Gestão
- Nova School of Business and Economics
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Computação Grafica
- Instituto Politécnico de Beja
- Instituto Superior Técnico
- Instituto Superior de Engenharia do Porto
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Engenharia Mecânica
- International Iberian Nanotechnology Laboratory (INL)
- Politécnico de Leiria
- RAEGE-Az
- Universidade Nova de Lisboa
- Universidade do Minho - ISISE
- University of Trás-os-Montes and Alto Douro
- iBET - Instituto de Biologia Experimental e Tecnológica
- 18 more »
- « less
-
Field
-
and computational implementation of methods, algorithms, and applications for the Portuguese use case. - Specification and development of the Portuguese pilot implementation. - Active
-
of recommendation algorithms based on multiple data related to microorganisms and pathogens, and the implementation of the recommendation system on a testable platform. The work also includes the writing of technical
-
hybrid model structures for the production of biosimilars; Development of deep learning algorithms for hybrid model structures; Optimisation of reactor control based on deep hybrid models; Implementation
-
, inferential, and multivariate methods, including principal component analysis (PCA), regression, and machine learning algorithms (e.g., Random Forest), with the aim of integrating various environmental exposure
-
(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
-
(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
-
: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
-
: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
-
OF THE WORK PROGRAMME AND TRAINING: 1) Development of workflows and algorithms to complement datasets of connected data spaces, to improve analysis results (forecasting, analysis of financial tools, predictive
-
) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND