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disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
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applications. Existing research model multiple UAVs as a single shared entity in a centralized Digital Twin (DT), which poses safety risks to IAM operations if the cloud or central database becomes unavailable
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field strong analytical skills, with knowledge of fluid dynamics, aerodynamics, and numerical simulation methods basic programming skills (e.g., Python, MATLAB, or similar) and familiarity with data
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- from individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological
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individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological neurons
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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physics or related disciplines. Following competences are desirable: Experience in programming with python or C++ Basic knowledge in laser modelling Basic knowledge in nonlinear dynamics Good communication
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model