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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high
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are a revolutionary paradigm for autonomous driving, enabling systems to jointly perceive, reason, and act in complex environments. However, evaluating such end-to-end models remains challenging, as most
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for image classification and other domains against existing open source LLM (e.g., Llama 3, Phi-3), as well as develop new kinds of attacks, for example based on evolutionary algorithms. 2. Investigate
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) to understand trade-offs in coordination, transport, and reuse performance under different scenarios. Develop a digital warehouse management system for reuse hubs: design and prototype a hub inventory system that
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, proteomics approaches, as well as immunohistochemistry, fluorescent in situ hybridization (FISH), and confocal imaging. Furthermore, you will use state-of-the-art in vivo noncanonical amino acid tagging (NCAT
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particles, the birth of the universe or the functioning of the brain. You will be part of the Video & Image Sense (VIS) Lab (which is part of the Informatics Institute). The Informatics Institute is located
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, hybrid) to understand trade-offs in coordination, transport, and reuse performance under different scenarios. Develop a digital warehouse management system for reuse hubs: design and prototype a hub
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of Technology and one part-time professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The text
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carried out together with the industrial partner Motion Imager and international academic collaborators. Your main responsibilities include: Designing and building an experimental TVAM setup for simple and
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, and carbon–nitrogen allocation using advanced tools such as single-cell transcriptomics, root imaging, isotope tracing, gas-exchange, and leaf spectroscopy. The projects aim to uncover physiological