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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D
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a 3D printing system for melting and extruding lunar regolith, while also advancing the field of composite 3D printing through experimental testing and process development. This position bridges hands
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models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
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infection, by exploring both 3D cultures of epithelial cells on collagen-based scaffolds, and commercially available ex vivo skin models. Focus will be on major wound pathogens S. aureus and P. aeruginosa
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vitro models of chronic wound infection, by exploring both 3D cultures of epithelial cells on collagen-based scaffolds, and commercially available ex vivo skin models. Focus will be on major wound
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, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning
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interpreting 3D point clouds. Specifically for the purpose of deconstruction and material extraction, such a map needs to additionally contain the identification of valuable materials for extraction as
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electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based