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Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and
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modular deep learning training framework Building reusable datasets, dataloaders, and model interfaces Structuring experiments (configuration, logging, reproducibility) Improving code quality and
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-driven commercial contexts—is a key part of the role. The post-holder has a doctoral degree in Design, Materials Design, Materials Research or a related field, demonstrating deep and rigorous understanding
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reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
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establish independent research groups at FIMM and contribute to the development and application of cutting-edge statistical and machine learning methods in molecular medicine and population health. This group
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of materials. We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware
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environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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translocation in the nanopore and deep data analysis will be handled by other researchers, discussed and solved together in the consortium. You will work together with our multidiciplinary team , and have access
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from