Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ICN2
- CIC energiGUNE
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Fundacion IMDEA Energia
- Institute for bioengineering of Catalonia, IBEC
- Universidad de Alicante
- University of A Coruña
-
Field
-
of algorithms for numerical efficiency, algorithms for data management and the efficiency implementation of those algorithms in the most advanced HPC platforms (MareNostrum). Where to apply E-mail eusebio.valero
-
-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
-
-including evolutionary algorithms, ant colony optimisation, and simulated annealing-to fine-tune an LLM/agent that generates high-quality prompts, inputs, and tool-use strategies for density functional theory
-
pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
-
y 6g. ----------------------------- Support in research studies and development of prototypes for confidentiality and secure authentication using quantum resistant asymmetric algorithms. Application
-
analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
-
optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
-
clasificación basados en aprendizaje profundo. Desarrollo de algoritmos de procesado de señal e imagen médica. ------------------- Development of algorithms for classification based on deep learning. Desing and
-
. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
-
for the execution of the algorithms. Implementation. Where to apply E-mail s.carrazoni@upm.es Requirements Research FieldEngineering » Electronic engineeringEducation LevelBachelor Degree or equivalent Skills