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of the bacterial chromosome structure. Technical building blocks could include state-space models, generative models in the form of diffusion models, deep learning, optimal transport, and probabilistic modelling in
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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with Unity or XR development, deep learning frameworks (e.g., PyTorch, TensorFlow), or real-time sensor data processing is considered a strong merit. Prior experience in reinforcement learning
Searches related to deep learning
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