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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while
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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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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised
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with colleagues with diverse backgrounds? The Informatics Institute is looking for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our
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available projects . Please indicate in your cover letter which of the following projects you're interested in: PhD 1: A collisional model for dust aggregates, based on continuum mechanics PhD 2: Dust
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collaborative and interdisciplinary team examining commonalities and differences across countries of origin (Italy, Turkey, and Yugoslavia) and destination countries (France and Germany). The team consists
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room, within this framework, to shape the PhD project in line with your own interests. You will be part of a collaborative and interdisciplinary team examining commonalities and differences across
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: A collisional model for dust aggregates, based on continuum mechanics PhD 2: Dust Aggregation with full treatment of Porosity, Mass, and Compaction PhD 3: Interaction of Light with Large Porous Dust