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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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Posting Summary Logo Posting Number RTF00050PO26 USC Market Title Associate Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156374 Business Title (Internal Title) Associate
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of this joint laboratory is towards the development of innovative nanotechnologies and nanomaterials for various electronic and photonic applications. For more details, please view https://www.ntu.edu.sg/cintra
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processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 Applications must be submitted via the application portal of the University of Tübingen by 12 April 2026. Formal
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discovered mechanism by which neurons remove dangerous “trash” in a project relevant to human neurodegenerative disease mechanisms. The experienced PhD scientist hired will work on a focused project on the
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich