664 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" uni jobs in Germany
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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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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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-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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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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-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