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candidate for a project applying state-of-the-art high-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor
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for social and economic activity, but are more complex and evolving systems, shaped by dynamic interactions between population growth, land use planning, infrastructure development, and the integration
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within FlexMobility, will focus on the supply-demand interactions to guide the design of mixed fixed-flexible transport networks. This will start with the behavioral investigation based on the available
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-Design Methodology We are seeking a highly motivated PhD candidate to join the TACIT project, focusing on accessibility, disability studies, (co-)design methods, and Human-Computer Interaction (HCI
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, disability studies, (co-)design methods, and Human-Computer Interaction (HCI). The ideal candidate is passionate about creating socially impactful inclusive co-design methods and eager to collaborate directly
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
Job Code: Tü_99 Job Offer from October 21, 2025 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through
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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
nanomaterials, thin films, and light–matter interactions? Do you want to explore how we can design materials that control light at the nanoscale? This PhD thesis offers a unique opportunity to work on plasmonic
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mosquitoes and the pathogens they transmit, and on the basis of these results, designs new strategies to control disease transmission. The PhD student (M/F) will benefit from interactions with students and
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-climate analytics, social vulnerability modelling, and participatory engagement with local authorities, including Loughborough (UK), to co-design targeted interventions and translate findings into open
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disrupt PPIs, and in guiding design of binders with therapeutic potential. The ways by which proteins can interact with each other are highly diverse, yet this structural diversity is poorly understood