Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Minho
- Harvard University
- Instituto Pedro Nunes
- City University London
- INESC TEC
- Northeastern University
- Aston University
- Aston University;
- Boston University
- CSIRO
- Hobart and William Smith Colleges
- Hong Kong Polytechnic University
- Instituto Superior Técnico
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical College of Wisconsin
- National Research Council Canada
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Iowa
- The University of Memphis
- Universidade de Aveiro
- University of Agder
- University of Agder (UiA)
- University of British Columbia
- University of Oslo
- University of South-Eastern Norway
- University of Turku
- 16 more »
- « less
-
Field
-
origin, ethnicity, physical or mental disability, genetic information, or because of military service or veteran status, in accordance with all Applicable Laws. Application Materials Required: Further Info
-
-C05-i08 of the Recovery and Resilience Program, through the Foundation for Science and Technology - FCT, under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering
-
sustainable scalability of infrastructure to support massive learning environments (MOOCs and global platforms); Explore mechanisms for continuous monitoring of performance and pedagogical impact. Documentation
-
1st December 2025 Languages English English English PhD Research Fellow in condition monitoring and performance analytics for hydroelectric powerplants Apply for this job See advertisement About the
-
in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian
-
Machine Learning model will be developed, capable of adjusting the electric assistance to optimise the balance between performance and consumption. Finally, the system will be validated with a real e-bike
-
of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible for the application and validation
-
candidate will be at the forefront of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible
-
-C05-i08 of the Recovery and Resilience Program, through the Foundation for Science and Technology - FCT, under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering
-
Country Portugal Application Deadline 11 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU