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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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, or the wider region. Skills in material science and decay analysis, conservation practice, or digital-humanities methods (network analysis, GIS, computer vision). Familiarity with international
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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and the research team members to ensure all project deliverables are met. Lead the design, development, and experimental validation of high-frequency ultrasound imaging methods, with emphasis on high
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for intelligent devices. Job Responsibilities Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour. Design experiments and prototypes to evaluate agent safety
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-light three-dimensional reconstruction, computational photonics and AI-assisted sensing. The role will focus on developing optical encoding methods, imaging-system calibration approaches, reconstruction
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for a highly driven Postdoctoral Research Scholar to join the lab. This group focuses on developing advanced surface engineering techniques, particularly laser-based methods, and conducting experiments to
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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their emulsion stability and estimated shelf-life. Conduct in vitro bioaccessibility and bioavailability studies for encapsulated nutrients using existing SIT analytical facilities. Support the design and
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Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare