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-related applications Data protection in machine learning (e.g., federated learning, differential privacy) Monitoring and verification/validation of Al-based systems at runtime Trustworthy Al engineering
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; Solid knowledge of statistics; Experience using machine learning methods and large language models (LLMs) for research; Experience in building and/or using large cultural datasets. We encourage
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(for example: optimization in machine learning, optimal control problems, optimization with partial or ordinary differential equations, parameter identification). We are particularly interested in areas
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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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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
research division within the NCT. You will analyze comprehensive, high-quality datasets and develop algorithms for the NCT-IIT program. In particular, machine learning methods should be developed to better
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(Computer Science), in the research group “Computer Graphics and Virtual Reality” of Prof. Gabriel Zachmann, within the EU project SENSORAMA (Horizon Europe), we are seeking to fill the following position
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on security that combines the subjects of law, economics, political science, and psychology. Premised on a broad conception of security that goes beyond the traditional focus on the military security of states
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some