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Field
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and Management The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber
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tend to be static, ambiguous, and insufficiently contextualised to complex and fast-changing environments. In this project, we develop two research lines. The first investigates the opportunities and
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tend to be static, ambiguous, and insufficiently contextualised to complex and fast-changing environments. In this project, we develop two research lines. The first investigates the opportunities and
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large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences experienced by readers and viewers when working with
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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related field, with relevant research experience in the field of digital twins or modelling and simulation for the design and development of complex systems. You should have excellent interpersonal and
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest