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programme Reference Number AE2026-0090 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0090
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21 Apr 2026 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Researcher Profile
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. Preference factors: - Outstanding academic performance in subjects such as Machine Learning and Artificial Intelligence; - Demonstrated knowledge and skills in Data Science or HCI (Human-Computer
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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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under measure ‘RE-C05-i08.m04 – Supporting the launch of a programme of R&D projects aimed at the development and implementation of advanced cybersecurity, artificial intelligence and data science systems
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potential. General scientific area: Computer science, business sciences or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros Requirements Research FieldComputer
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the period of the project, not exceeding the maximum period set by FCT for such grants. RENEWAL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https
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Informatics, Digital Arts, Creative Computing, or related fields. • Knowledge of IoT, creative programming, Artificial Intelligence tools, and/or data visualization (e.g., Python, Processing, TouchDesigner
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scientific research experience in computational applications with focus on Artificial Intelligence methods. Preferred profile: Experience in funded research projects will be valued, with particular emphasis
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well as expertise in artificial intelligence and other advanced computational methodologies. - The candidate should also be motivated and self-disciplined, with a proven ability to work in teams, particularly in