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perceive, interact with, and adapt to dynamic textile materials over time, advancing methods for studying embodied interactions with emerging material technologies. As a PhD candidate, you will join the
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such as mechanistic, chemometric, deep learning, and physics-aware models. Improve robustness and reliability of the developed methods for deploying AI models in real environments utilizing augmentation
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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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this methodology and toolkit in user studies to investigate how people perceive, interact with, and adapt to dynamic textile materials over time, advancing methods for studying embodied interactions with emerging
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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computer vision and image-processing methods, complementing modern deep-learning approaches. Familiarity with the deep-learning and analysis tool ecosystem used in mesoscale rodent brain mapping - spanning
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) is one of the world-leading groups in the field of computer simulations of active, soft and living matter systems, such as cells, bacteria, tissues, and active synthetic colloids. Our aim is to provide
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer interaction, geo-information science, or a related field, with
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in another language, if there is no Portuguese or English version of them. Whenever the originals of the documents referred to in III.2.3. are produced in a different language, a translation document