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machine learning and deep learning methods will be developed and applied within interdisciplinary research networks. The professorship should also contribute to the generation and supervision
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 3 months ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
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University of Potsdam, Department of Human Resources | Potsdam, Brandenburg | Germany | about 9 hours ago
concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural Language Processing (NLP) and Natural Language Generation (NLG) We
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learning and adopting new techniques within a dynamic and methodologically diverse research environment Willingness to support group administration, including purchasing and lab organization, in
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3387/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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-depleting strategies on the lymphatic tissue Annals of the Rheumatic Diseases, 2025 https://doi.org/10.1016/j.ard.2025.06.2120 CD19-CAR T-cell therapy induces deep tissue depletion of B cells Annals
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-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine learning
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as a comprehensive university allows for multidisciplinary learning and teaching, in turn paving the way for internationally renowned, interdisciplinary research. Almost all of its faculties and
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adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning
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28.05.2025, Academic staff We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations, statistical