Sort by
Refine Your Search
-
Category
-
Employer
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Centre de Recerca en Agrotecnologia-AGROTECNIO
- IBIMA Plataforma BIONAND
- IDAEA-CSIC
- IFIC
- IMDEA Networks Institute
- UNIVERSITAT POMPEU FABRA
- Universidade de Vigo
- Universitat Politècnica de Catalunya
- Universitat de Barcelona
- University of Cantabria
- 1 more »
- « less
-
Field
-
the EU Research Framework Programme? Not funded by a EU programme Reference Number 184188 Is the Job related to staff position within a Research Infrastructure? No Offer Description Advanced statistical
-
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
-
processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
-
in Civil Engineering, Materials Engineering, Industrial Engineering, Mathematics/Statistics (line 4) or related. English, B2 or higher. How to apply Email to [email protected] with subject
-
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
-
programming, machine learning, statistics, or gravitational-wave physics will be particularly welcome. Application procedure: Interested candidates should send a CV, a short statement of research interests
-
: 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
-
or currently enrolled doctoral candidate at the time of application (0.5 points). - Demonstrable knowledge of databases and basic statistical analysis (0.5 points). - Authorship of papers presented
-
, 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
-
, Economics Statistics, Mathematics, or equivalent, with a specialization in energy systems modelling and electricity markets. Demonstrated research experience in electricity markets, energy economics