Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, IT Infrastructure Administration, Infrastructure and IT Systems Administration, High Performance Computing Infrastructures, Parallel Processing, Advanced Parallel Processing, Large-Scale Machine
-
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
-
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
-
Points Criteria and assessment of merits: The call may be declared void if the candidates do not reach a minimum score of 70 points in the selection criteria detailed above. The process will create a
-
25 points between them. Selection process APPLICATION PROCESS WHERE TO APPLY: UDC online services site. Applications should be addressed to the Office of the Vice-Rectorate for Research and
-
interviewed. Selection process APPLICATION PROCESS WHERE TO APPLY: UDC online services site. Applications should be addressed to the Office of the Vice-Rectorate for Research and Transference, and include
-
points per 10 accredited hours (maximum 6 points) 3. Instrumental or supporting training (advanced office tools, web editing, image processing, introductory digital humanities courses): 0.5 points per 10