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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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Your Job: We are looking for a postdoc to further develop probabilistic, statistical and game-theoretical methods for application in international nuclear safeguards. The tasks include: Connect
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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called UrbanAIR, funded by the European Union’s HORIZON Research and Innovation Programme under Grant Agreement number 101188131. UrbanAIR aims to develop a Digital Twin for Climate-Resilient Urban
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the research group “AI for Image-Guided Diagnosis and Therapy” of Benedikt Wiestler at the TUM School of Medicine and Health. The project is about developing next-generation DL algorithms using attention
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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-circuits regarding defined use cases including the development of Python code Demonstration of neuromorphic principles on the co-integrated memristor-silicon chips Demonstration of the ability of the co
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prototyping of new ideas in custom code. Implementation of new models, methods, and algorithms into an existing framework, with a focus on efficiency. Creation and execution of relevant simulation pipelines
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization