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Information Technology Are you interested in working with probabilistic machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models
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Information Technology Are you interested in working with machine learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron
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inference of large AI models on GPU clusters. Experience with modern AI frameworks for large-scale machine learning, such as PyTorch, JAX, NVIDIA NeMo, Megatron-LM or DeepSpeed. Experience with GPU
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understand, explain and improve our world and the human condition. Are you an expert in computational modelling, machine learning, or signal processing and with a strong interest in neuromuscular
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Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would you like to work together with
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and interpreting results, and benchmarking brain-inspired architectures against conventional machine learning methods. You are also expected to actively participate in academic discussions with
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learning programming libraries such as TensorFlow, PyTorch, or JAX is a must and experience with GPU-based experimentation and cluster computing (e.g., Docker, Slurm) a plus. In addition to the above, there
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, incubators, shakers, and high-throughput laboratory automation.You will also have access to a dedicated Linux-based GPU computing cluster for AI-driven protein design and machine learning, enabling the