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-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
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of Electrical Engineering or related areas. - In addition, the candidate should demonstrate solid knowledge in electric power systems and in the development of optimization algorithms and intelligent systems
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Engineering or related fields. - A solid background in electric power systems is required, as well as experience in the development of optimization algorithms and intelligent systems. - The ability to apply
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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modules, reasoning over structured graphs or rules, act as a factual verifier. The PhD fellow will perform the following tasks: Framework Design & Implementation, Reasoning Algorithms Development, and
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, Alberto Jorge Lebre Cardoso IV - Work Plan / Goals to be achieved: Title: Intelligent Systems Architecture and Integration of AI Models in ERP Platforms The N-GenERP project aims to develop innovative
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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critical functions in inter-cellular communication, controlling tissue development, homeostasis and repair, inflammatory and immune responses, neuronal connectivity, and symbiosis with bacteria. However
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scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development