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Field
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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AI agents themselves. The candidate will explore behavioural analysis techniques. Another research questions is related to the definition and application of a unified policy through both legacy IT
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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: From Mechanisms to Therapies”. In this CRC we aim to understand how plasticity i.e. non-genetic adaptations of the bone marrow niche induced by the disease or therapeutic agents contribute to drug
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into AI-driven conversational agents in public education settings, this project will explore how spatial positioning, movement, and embodied presence influence visitor engagement and knowledge retention
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develop microbial biofactories that serve as platforms for the production of biopharmaceuticals, therapeutics, or novel agents for personalized medicine. In both of these research areas, we are each seeking
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four work-packages, we are exploring how trust in moral machines depends on the precise characteristics of characteristics of different AI agents; the individual differences of the person doing
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, collaboration, and effective teamwork between human workers and AI agents. The research will employ Participatory Design (PD) approach, emphasizing a democratic approach to technology design. This will require
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and 2). These measurements will then be incorporated into a GIS and compared to historical records of the position of channel networks prior to reclamation, such as aerial photography, to validate
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on these comparisons, you will create agent-based models (ABMs) that define interaction rules based on observed similarities and differences in events [4], with a focus on the specific role of individual differences