Sort by
Refine Your Search
-
, IT Infrastructure Administration, Infrastructure and IT Systems Administration, High Performance Computing Infrastructures, Parallel Processing, Advanced Parallel Processing, Large-Scale Machine
-
-148913OB-I00 Job title: Trustworthy and Explainable AI for Computer-Aided Medical Imaging: New Advances and Applications Research line / Scientific-technical services: AI in healthcare Grant/funding period
-
and processing of multi-omics biomedical data from various public sources. 2. Development and training of AI models based on Graph Neural Networks (GNN) and Kolmogorov-Arnold Graph Neural Networks
-
, Universities and Vocational Training). The main objective of the project is to improve the state of the art in the computer analysis of polysomnography signals through the development of comprehensive, robust
-
(maximum 3 points). B. Academic record in Master's degrees (Master's in Bioinformatics or related field): in proportion to the grade point average. If the average grade is lower than 8.5 or the Master's
-
integration, algorithm development and the creation of machine learning tools required for the project’. The successful candidate must have advanced knowledge of computer engineering, particularly of artificial
-
: Fieldwork for hydrological, hydrogeological, hydrogeochemical, and isotopic monitoring of AQUATERRA study areas. Data processing and analysis. Processing data for reports and water balance and groundwater
-
the detection of anomalies in the manufacturing process of unique industrial components. Different alternatives will be explored and analyzed, in the field of machine learning, that allow relevant information
-
Candidates must hold a Master’s degree in Computer Engineering. Additional Information Eligibility criteria MERIT EVALUATION CRITERIA: Academic record in the Bachelor’s degree in Computer Science: up to 5
-
methods, hpc computer programming and mechanics of structures. The candidate's experience and knowledge in the tasks to be performed in the project will be valued at 15%, in particular in numerical methods