Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- BCBL - Basque Center on Cognition, Brain and Language
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Fundació per a la Universitat Oberta de Catalunya
- ICN2
- IMDEA Networks Institute
- Universidad de Alicante
- Universidade de Vigo
- Universitat Politècnica de València
- BARCELONA SUPERCOMPUTING CENTER
- CIC nanoGUNE
- CSIC
- Centre for Genomic Regulation
- Computer Vision Center
- Computer Vision Center (CVC)
- IRTA
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Autonoma de Barcelona
- Universitat de Barcelona
- Universitat de Lleida
- Universitat de Vic (UVIC - UCC)
- noma de Barcelona
- 12 more »
- « less
-
Field
-
Engineering). - Theoretical foundations of 6G RAN and autonomous systems o Proven knowledge of AI-native RAN systems. Indicative skills/experience: - Deep understanding of 5G/6G RAN architecture (O-RAN, NG-RAN
-
scalable and efficient software and firmware analysis methodologies using tools like Frida or IDA Pro, enhanced with traffic monitoring techniques and Machine Learning to detect and analyze vulnerabilities
-
), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas, SHAP, TensorFlow, etc.) y específicas de análisis de imágenes, estadística, simulación, entornos cloud (tipo Kubernetes
-
classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
-
on the application of machine learning in satellite communications (20 points). Participation in European Space Agency projects (20 points). Other skills that are valuable, but not mandatory are: Knowledge of over
-
in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
-
remuneration, or a proportional part for periods of less than one year. 2.5. Tasks to be carried out: · Developing advanced tools for the spectral analysis of the X-IFU instrument. · Developing machine learning
-
biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
-
characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
-
ideas Be able to explain the outcome of research and value thereof to research colleagues Specific Requirements Programming experience and a technical mindset. Engineers, computer scientists, physicists