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of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies. Potential Ph.D. Projects Domain-specific fine-tuning and alignment to create AI systems that are powerful
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system that leverages pretrained multimodal encoders (like CLIP) and advanced sequential modeling techniques. The central hypothesis is that a user's preferences are encoded in the sequence of items
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). The project combines cutting-edge long-read sequencing technologies with clinical research on rare neurological disorders. You will join a highly interdisciplinary team, benefit from close supervision, access
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data are essential. This has also been appreciated with the nomination “technology of the year 2019” by the journal Nature Methods. Our research group employs state-of-the-art single cell sequencing
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or those sent as multiple files may not be considered. Equal opportunity & accessibility We are committed to promoting a culture of diversity and welcome applications from people regardless of gender
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Zone B cells, mostly in the mouse. The primary objectives include: • Mapping the developmental trajectories of MZ B cells by various methods, including single cell sequencing • Investigating
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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organs from mice. • Expertise in Flow Cytometry, particularly in multi-color FACS staining and cell population analysis. • Experience/Interest in single cell RNA sequencing experiments. • Excellent