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Field
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microscopy experiments across a broad range of scientific applications. Position Description The postdoctoral researcher will develop and apply high-precision advanced manufacturing, multimodal synchrotron x
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reproducible research, together with the ability to collaborate across AI, bioinformatics, microbiology and crop science. Experience with microbiome data, microbial genomics, metagenomics or multimodal
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(MIRMI) is a globally visible, interdisciplinary research center dedicated to machine intelligence—the integration of robotics, artificial intelligence, and perception. MIRMI’s research addresses key
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compounds play a crucial role in the selection and sensory perception of food. Achieving a deeper understanding of their chemistry and bioactivity on a molecular level will support the development
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autonomous or semi-autonomous agents that can integrate literature knowledge, analyze multimodal experimental data, generate mechanistic hypotheses, design experiments, and interact with laboratory
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perceptions of their future profession, and how they evaluate apprentices’ attempts to engage with these practices and perceptions. Particular attention will be paid to the role of nonhuman actors, such as
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skills, preferred. Proficient in Word, Excel, GraphPad, Adobe Photoshop, and Illustrator, preferred. Prior experience with slice or in vivo electrophysiology works, preferred. Experience with multimodal
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candidate will conduct cutting-edge research on coordinated autonomous ground and aerial robotic systems, focusing on multi-agent collaboration, autonomous decision-making, perception, planning, and control
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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the NEDO project: "Project to Develop a Multimodal Foundation Model for AI Robots and Physical AI." If selected through this open call, you will be obligated to work exclusively on this NEDO project. https