Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- IRTA
- ICN2
- UNIVERSIDAD POLITECNICA DE MADRID
- Agencia Estatal Consejo Superior de Investigaciones Científicas
- Fundación IMDEA Nanociencia
- Institute of Materials Science of Barcelona (ICMAB-CSIC)
- Polytechnic University of Catalonia
- Universidad Nebrija
- Universidad de Alicante
- Universitat de Barcelona
- University of Lleida
- 1 more »
- « less
-
Field
-
interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
-
applications from motivated candidates with relevant research experience and passion to conduct research and innovation activities on socioeconomic analysis of issues related to the production, processing, and
-
of monitoring stations sites. Lab tests and data analysis: Lab work of standard and advanced geotechnical tests, performing quality control. Processing of monitoring and lab data, and facilitating the analysis
-
. The researcher cannot already be in possession of a doctoral degree. Desirable skills: Previous experience in participating in research projects (e.g., data collection, analysis). Experience with EEG data
-
strategies for Energy Communities. - Development of Virtual Power Plants. - Conducting fieldwork for data analysis. Where to apply E-mail contratos.spv@gmail.com Requirements Research FieldTechnology » Energy
-
correlated it with nanoscale microstructure analysis and growth reactions paths. Therefore, a 7-class clean room facility, a 9 and 16 T magnetic system, Transmission Electron Microscopes and an in-situ growth
-
analysis. Strong background in Polymer Science. Working conditions: Full-time employment contract (37.5H per week). Contract duration: 3 years Annual gross salary: will correspond to the standards of IMDEA
-
to historians, educators, and the wider community. The work will involve: Digitisation and computational processing of historical records, including metadata creation, textual analysis, data mining, and
-
implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
-
). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools