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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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, Ontolgies, Federated Learning . Indicate the public software repos. Deep knowlege of security and cryptography and mastering of management and monitoring tools and traffic inspection. Knowlege of technologies
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Jan-26 Location: Abu Dhabi, UAE Categories: Academic/Faculty Internal Number: 180593 The Deep Learning laboratory
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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Deep Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement
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learning architectures, addressing both Parameter-Efficient Fine-Tuning (PEFT) regimes and full end-to-end fine-tuning workflows. Where to apply Website https://www.unimore.it/ Requirements Additional
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to demonstrate expertise in generative AI systems and prompt engineering, with a deep understanding of how to manipulate digital systems to produce high-quality creative results. Applicants will be able
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Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required