Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- FCiências.ID
- Instituto Pedro Nunes
- Universidade de Coimbra
- University of Minho
- Faculdade de Ciências e Tecnologia
- Nova School of Business and Economics
- INESC ID
- Instituto Superior de Economia e Gestão
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- International Iberian Nanotechnology Laboratory (INL)
- Politécnico de Leiria
- RAEGE-Az
- Universidade Nova de Lisboa
- Universidade de Aveiro
- University of Trás-os-Montes and Alto Douro
- Value for Health CoLAB
- 6 more »
- « less
-
Field
-
artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
-
domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
-
requirement Work plan: The candidate will carry out R&D activities within the scope of the 2022.06672.PTDC project, namely: 1) Review of the literature on adaptive mesh generation algorithms for singular
-
Reconstruction from clinical arthroscopy video. The research will focus on investigating and advancing multi-view feed-forward algorithms to tackle the specific challenges of the arthroscopic environment, where
-
algorithms for classifying modes of locomotion and assessing fall risk; iv) integration and control of balance recovery through slip detection tools in a commercial exoskeleton, using ROS2, DMPs, CPGs, and
-
of classes, using Machine Learning (ML) techniques such as Decision Trees, K-Nearest Neighbors (KNN), XGBoost, Support Vector Machines (SVM), or Neural Networks. Explore and implement clustering algorithms
-
Researcher, of the FCiências.ID Scientific Research Career, within the scope of the project HOFGA: The Hardness of Finding Good Algorithms (Ref. HORIZON-ERC-STG-101041696), financed by the European Union´s
-
quantum advantage; Classical simulation algorithms for noisy quantum devices; Boson sampling and related quantum computational advantage proposals; Mandatory Qualifications Education PhD degree in Physics
-
intelligence algorithms.”, financed by National public entities (IFAP IP), under the following conditions: Scientific Area: Geospatial Engineering Admission requirements: Candidates must meet the following
-
requirements, as well as the design of data models, synchronisation algorithms and analysis and learning models applied to brain and physiological signals. The objectives of this fellowship are: 1. To survey