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to the design and optimize the metal combustors. Develop and implement image analysis techniques for particle evaporation, fragmentation and alumina condensation. Support project and thesis students working
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methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
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Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific software Experience with scientific data visualization and related tools
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and optimize the detailed methods to pursue the overall project goals and, after a training period, independently analyze genomic data using machine learning and other statistical methods. All work will
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to polymer building blocks. The work will involve developing suitable bacterial strains using synthetic biology tools for constructing optimal pathways, and protein engineering using rational design and
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optimization of imaging parameters. Overall, this project aims to explore, develop and integrate advanced imaging modalities towards their use for biological samples. Work tasks The main task of the position is