Sort by
Refine Your Search
-
Category
-
Field
-
Analysis, enrolled [JB2.1][JB3.1]in a doctoral programme or in a non-degree course. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting
-
skills in Artificial Intelligence, Evolutionary Computation, and Generative Models Work plan: 1. Review and analysis of the literature on latent space exploration, evolutionary computation applied
-
-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
-
to develop new knowledge and skills in Artificial Intelligence, Generative Models, and Computational Neuroimaging.. Work plan: 1. Review and analysis of the literature on generative models guided by
-
-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
-
strategies". The work plan includes: -Design and programming of behavioural and MRI experiment as described in the project proposal. -MRI data analysis (at the supervision of senior researcher and technician
-
Machado; Pedro Manuel Henriques da Cunha Abreu IV - Work Plan / Goals to be achieved: The work plan will be composed by 5 steps: 1-Review and classify techniques used for dataset analysis and curation
-
literature - Technology analysis - Solution design - Development and testing of the proof of concept - Writing of technical documentation. V - Initial grant duration: 3 months (as long as it does not exceed
-
cultures from mouse brain tissue, iPSCs and their neuronal differentiation; • Viability assays and functional analysis; • Electrophysiology using microelectrode arrays (MEA); • Animal experimentation using
-
Recovery (WHR) system with the potential to shift heat extraction/storage from electricity production. Plan: 1 Specification 2 Selection of a commercial unit 3 Performance forecast analysis 4 Assembly and