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                the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and 
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                Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse 
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                AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhDintelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap 
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                group of scientists and medical professionals, mainly focused on innovative clinical imaging methods in breast cancer diagnostics, with a particular focus on cancer screening and artificial intelligence 
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                This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits 
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                contribute to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field 
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                30 Sep 2025 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Engineering 
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                flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work 
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                (based solely on DL) with XAI, to incorporate subtle human judgement, thus aiming to bring robotic systems closer to the thresholds of human cognition Designing XAI-based methods in robotics and computer 
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                thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute