Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Centre de Recerca en Agrotecnologia-AGROTECNIO
- IDAEA-CSIC
- IMDEA Networks Institute
- UNIVERSITAT POMPEU FABRA
- Universitat Politècnica de Catalunya
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- University of Cantabria
-
Field
-
Number 10267010007 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a doctoral thesis on the mechanistic interpretability of graph neural
-
optimisation of analytical methods for VOC characterization. Chemical analysis of air and rainwater samples using advanced instrumentation. Data processing, statistical analysis and interpretation of large
-
integration and the optimisation of processing workflows using advanced analysis tools and artificial intelligence. • Develop software tools for the automation of data analysis, monitoring and quality control
-
Development Plan (PCDP) outlining research objectives, timelines, skill development goals, and career aspirations. Organize, prepare and follow up biannual meetings of the supervisory teams. Design and conduct
-
for: The selected candidate will develop their thesis within one of the following four research lines: Early-age microcracking: monitoring and sensor development AI-driven management of sustainable concrete Digital
-
Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
-
: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
-
scientific support on the energy economics aspects of the research project. Supervise and mentor the PhD candidate on research related to energy economics and electricity markets. Develop and validate economic
-
, perform data analysis using advanced statistical methods, prepare scientific manuscripts, and participate in broader project activities such as synthesis, dissemination, and co-creation workshops. Active
-
an observatory of these ecosystems and to develop data-driven methods that make their activity legible: characterising how illicit practices emerge, stabilise, and spread across platforms, communities, and