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Education: Ph.D. in Mathematics, Physics, Neuroscience, Computer Science, Machine Learning, or a related field is required . Experience: 6+ years of research experience after the Ph.D., including a
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Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
research at www.erturk-lab.com . We are seeking a highly motivated AI Scientist (f/m/x) (best: Computational Pathologist / Machine Learning Scientist for Digital Pathology) to join our efforts in developing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | about 2 months ago
methods that tell us whether any of it can be trusted. We sit at the meeting point of machine learning methods and biomedical application, embedded in Helmholtz AI, the Computational Health Center, and
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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composition, additives, interfaces, passivation strategies, and processing conditions Apply data-driven and machine-learning methods for multi-objective optimization of efficiency, reproducibility
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Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein-Westfalen | Germany | about 2 months ago
‑dimensional data analysis Practical experience in working with mice as animal models is of advantage. Practical knowledge of data analysis and machine learning using R or Python is of advantage Very good
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, communications, highly scalable data science, mathematics and application support. The Large Scale Data Science department develops machine learning techniques and other methods and tools for the
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
and uncover novel biological and medical insights. Develop innovative data analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific