Sort by
Refine Your Search
-
Category
-
Employer
- IMDEA Networks Institute
- UNIVERSIDAD POLITECNICA DE MADRID
- University of A Coruña
- Universitat Politècnica de València
- University of Castilla- La Mancha
- AIMEN
- Campus Iberus
- Centre for Genomic Regulation
- Centro de Biología Molecular Severo Ochoa
- EURECAT
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Fundació per a la Universitat Oberta de Catalunya
- IRTA
- Instituto de Investigación Biomédica de Salamanca (IBSAL)
- UNIOVI
- Universidad de Alicante
- Universidad de Murcia
- Universitat Autònoma de Barcelona
- Universitat Internacional de Catalunya
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- 10 more »
- « less
-
Field
-
sustainability. We use advanced modelling and experimental tools at various scales (laboratory, pilot plant and real scale) to develop and validate new technologies and their applications. We work with a wide
-
the framework of water resources modelling and their application in the Júcar River Basin District. That means, there are diverse indicators of the habitat Suitability for aquatic species, especifically for fish
-
ubiquitous connectivity. In this context, Digital Twins are presented as an innovative approach for future 6G networks by creating real-time, high-fidelity digital replicas that model the behaviour of radio
-
𝗜𝗯𝗲𝗿𝘂𝘀 𝗜𝗻𝘁𝗲𝗿𝗱𝗼𝗰 program is looking for researchers to develop the doctoral thesis "Plant protein production in the Mediterranean area to mitigate climate change: a large-scale modelling approach
-
and engineer sequence-activity genome-wide. The project will focus on using model systems and aim to produce complete maps of how mutations affect fitness and how these mutations interact within and
-
combining in-depth qualitative and quantitative data. The impact of societal digital transformations on adolescent well-being and opportunities, employing advanced statistical modelling (e.g., longitudinal
-
the following research problems in their PhD theses: 1) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning
-
design and modelling, and numerical modelling and electromagnetic mathematical methods: RCWA, FDTD. Photopolymer-based holographic materials. Full-colour holography. Vision optics. Programming in MATLAB
-
. The recruit will focus their work on one or more of the following sub-lines of work: low-resolution algorithms, model optimization with HPC techniques, edge computing, quantum computing, energy-efficient