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grant-funded position involves conducting research through multidisciplinary approaches to investigate host immunity to pathogens, bacterial physiology, structural biology, macrophage biology, host
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colloidal routes, enabling precise control over size, morphology, composition, and structural complexity. This role offers an unparalleled opportunity to lead the computational core of a cutting-edge
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-resolved fluorescence methods for studying protein-protein interactions and protein structure-function relationships in live cells. This project will focus on elucidating the structure-function mechanisms
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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research and field explorations. Physical Grounding and Scene Understanding - Build perception pipelines that connect visual and multimodal observations to structured representations of the physical
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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tracking systems. Strong written and verbal communication skills, including producing clear minutes, action logs, and structured documents for diverse stakeholders. Comfort working with multidisciplinary
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equipment; (b) work with gamification content, Rhino3D Grasshopper plugins and construction materials to communicate with Unity virtual content; (c) connect Internet of Things (IoT) gadgets with MR
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clusters in structurally disadvantaged groups, who are marginalised within society through economic and social exclusion. Efforts to redress these health inequities and poorer TB outcomes, requires a
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contexts by integrating genotyped family trios into population-based registries on family structure, residence, schools, health, and education. The postdoctoral fellow will be working with GeoGen Team