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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and generative modeling across heterogeneous
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dependencies for execution on Alps / CSCS infrastructure. Run and monitor Slurm-based training and evaluation jobs. Debug failures related to distributed execution, checkpointing, filesystem performance
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The Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School
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, electron-beam lithography, theory of light-matter interaction, computer simulations using the method of Finite Differences in the Time Domain (FDTD), determination of optical material constants by multiangle
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Instructors are expected to develop and sustain an excellent independent research program. They are welcome to collaborate and encouraged to interact with members of the Institute, but they maintain full
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recommendations to ensure reproducibility of the project’s artefacts Diagnose, prevent, and repair failures and regressions across the software stack Analyze the security level and trusted computing base of the
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sustain an excellent independent research program. They are welcome to collaborate and encouraged to interact with members of the Institute, but they maintain full research independence. Bernoulli
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initial teaching load is light during the first two years and gradually progresses. Bernoulli Instructors are expected to develop and sustain an excellent independent research program. They are welcome
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an excellent independent research program. They are welcome to collaborate and encouraged to interact with members of the Institute, but they maintain full research independence. We are looking in particular