Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- INESC TEC
- UiT The Arctic University of Norway
- University of Stavanger
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- INESC ID
- Simula Research Laboratory
- Australian Academy of Science Research Funding
- Faculdade de Ciências e Tecnologia
- Institute of Cosmos Sciences of University of Barcelona
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto Politécnico de Beja
- Instituto Superior Técnico
- Instituto de Telecomunicações
- Libera Università di Bolzano
- National Research Council Canada
- OsloMet
- Universidade Autónoma de Lisboa
- Universidade de Coimbra
- University of Aveiro
- University of British Columbia
- 10 more »
- « less
-
Field
-
of virtual models (digital twins) for studying and detecting abnormal operating conditions (predictive diagnostics of anomalous behaviors) in distribution transformers using the finite element method (FEM
-
benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
-
the methodologies for preventing unintended, harmful behaviors in open-source AI models. Your work will focus on the foundational challenges of safety, from mitigating algorithmic bias to ensuring systems remain
-
clothoid-specific algorithms that generate a speed profile that takes into account the characteristics and properties of the applications, applied to the movement of human arms/hands, human locomotion, and
-
-string measurements? How can distributed sensing and high-speed telemetry be leveraged to improve operational decisions? And what role do high-precision, memory-based measurements—only accessible post-run
-
multiple along-string measurements? How can distributed sensing and high-speed telemetry be leveraged to improve operational decisions? And what role do high-precision, memory-based measurements—only
-
affiliated with the Center of Excellence Integreat . The position is for a period of four years. The nominal length of the PhD program is three years. The fourth year is distributed as 25 % each year and will
-
with the Center of Excellence Integreat . The position is for a period of four years. The nominal length of the PhD program is three years. The fourth year is distributed as 25 % each year and will
-
leveraging on AI and optimization, applying data science and analytics techniques. Such tools will support the integration of Distributed Energy Storage (DES) and Distributed Energy Resources (DER) in
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
management from water and energy sensors; Development of algorithms to improve data collection pipelines from water and energy sensors; Analysis of water and energy datasets using AI techniques, including