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Field
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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most risk through ecological momentary assessment, qualitative interviews and group model building workshops (Studies 1-3); you will systematically develop and pilot test Quit Sense Amsterdam (Study 4
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analyze complex eye-tracking and donated social media data, recruit participants for all studies); Write academic articles for publication in high-impact scientific journals, and present findings at (inter
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by Prof. Carlijn V.C. Bouten and the Modelling in Mechanobiology (MMB) group led by Dr. Sandra Loerakker . As a member of these groups, you will have access to the Cell and Tissue Engineering
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learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model parameters that have been learned from data. For instance
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studies: you will develop a systems map in which we will identify urban spaces that present most risk through ecological momentary assessment, qualitative interviews and group model building workshops
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analyze data for the studies (e.g., prepare and analyze complex eye-tracking and donated social media data, recruit participants for all studies); Write academic articles for publication in high-impact
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embedded within the Soft Tissue Engineering and Mechanobiology (STEM) group headed by Prof. Carlijn V.C. Bouten and the Modelling in Mechanobiology (MMB) group led by Dr. Sandra Loerakker . As a member of