13 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at LNEC, I.P. in Portugal

research initiation fellowship (RIF) in the scope of the devel-opment of project ARTEMIS.

LNEC, I.P. | Portugal | 7 days ago

implementing data services; developing intuitive and interactive graphical interfaces; integrating 3D visualization tools with a focus on emerging technologies such as AR and VR; applying machine learning-based

research fellowship (RF) in the scope of the research project “ID4CH - Infraestrutura digital para a conservação e divul-gação do património

LNEC, I.P. | Portugal | 20 days ago

of AI machine/deep learning imagery analysis methodologies and Digital twins applied to cultural heritage assets. 8  - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do

Call for awarding a post-doctoral research fellowship (RF), in the framework of road safety modelling in interurban roads and urban and periurban mobility.

LNEC, I.P. | Portugal | 10 days ago

interaction with the road infrastructure. • Experience in big data analysis and handling of large data sets, with skills in applying AI and machine learning techniques to traffic pattern analysis and road

research fellowship (RF) in the scope of the research project “NatureLab”, funded by the European Union under Grant Agreement No. 101083857.

LNEC, I.P. | Portugal | 20 days ago

Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website:  https://www.lnec.pt Email: recrutamento@lnec.pt The above activities shall be conducted

Call for awarding a part-time (50%) research fellowship (RF) within the scope of the activity “Seismic hazard assessment for the National Annex of Eurocode 8-Part 1”

LNEC, I.P. | Portugal | 10 days ago

Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento@lnec.pt The above activities shall

Research fellowship (RF) in the scope of the Project Management Division

LNEC, I.P. | Portugal | 10 days ago

Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa País: Portugal Website:  https://www.lnec.pt Email: recrutamento@lnec.pt The above activities shall be conducted at the Project

Research fellowship (RF) in the scope of the research program FightRn – Solutions for radon mitigation in buildings through protective barriers for construction materials (Ref. 2023.17653.ICDT)

LNEC, I.P. | Portugal | 18 days ago

, 101 – 1700-066 Lisboa Country: Portugal Website:  https://www.lnec.pt Email: recrutamento@lnec.pt The activities within the scope of the grant will be carried out at the Acoustics, Lighting, Components

External competition of international selection is launched for recruitment of a post-doctoral researcher within the scope of Engineering and Environmental Geology Unit of the Geotechnics Department

LNEC, I.P. | Portugal | 24 days ago

: Portugal Website:  https://www.lnec.pt Email: recrutamento@lnec.pt The scientific research, technological development, management and communication of science and technology activities shall be carried out

External call of international selection is launched for recruitment, under an indefinite-term employment contract in public functions, of an Assistant Researcher in the scientific field of Information Systems

LNEC, I.P. | Portugal | about 1 month ago

should possess a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling

External call of international selection is launched for recruitment, under an indefinite-term employment contract in public functions, of an Assistant Researcher in the scientific field of Roads, Railways and Airfields

LNEC, I.P. | Portugal | about 2 months ago

Predictive Maintenance: employing big data analytics to assess ballast degradation and particle morphology, supported by machine learning algorithms. Data-Driven Numerical modelling Simulations: leveraging