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Aalborg University | Witwatersrand Native Labour Association Dam, Mpumalanga | South Africa | 2 months ago
Engineering (Diplom) programme in Artificial Intelligence Engineering. You will be responsible for teaching courses in topics such as machine learning, deep learning, MLOps, image processing, and computer
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-performance clinical MR systems to lower static magnetic field strengths. In conjunction with advanced MR pulse sequence design and image reconstruction approaches, excellent image quality is achievable
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candidate holding a master’s degree or a diploma in electrical engineering, geomatics engineering, geophysics, physics or a related field with a background in digital signal processing and/or image
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chemoattractants, with the opportunity to learn and use advanced techniques such as flow cytometry and plate-reader-based plasmid transfer quantification. Image and track fluorescently labeled bacteria
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as postdoc requires academic qualifications at PhD level. Your competencies You hold a doctoral degree in an area closely related to production concept development, changeable manufacturing systems
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. The recent focus of the group (www.macro.ethz.ch/) includes the development of: (i) rational design of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration
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, two-year postdoc positions in this next round. The goal is to advance computational methods and AI/XR for Architecture, Engineering & Construction (AEC) and urban/landscape planning - bridging research
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: Optical spectroscopy or microscopy Time-resolved or single-particle measurements Electron microscopy Image processing, three-dimensional reconstruction, or single-particle analysis Semiconductor
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UTB | about 2 months ago
using physically grounded image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation
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UTB | about 2 months ago
using physically grounded image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation