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Übersicht Doctoral Position in solid-state transformer development, with a focus on high-power medium-frequency transformers 100%, Zurich, fixed-term Drucken The Laboratory for High Power
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systems, such as transformer or diffusion networks and reinforcement learning to guide the self-aware learning and network formation. As such this expected to be a purely mathematical and
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systems, such as transformer or diffusion networks and reinforcement learning to guide the self-aware learning and network formation. As such this expected to be a purely mathematical and
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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(e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed
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large language models, vision-language models, transformer models, and autonomous AI agents. The project may investigate attacks such as prompt injection, adversarial medical-image manipulation
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large language models, vision-language models, transformer models, and autonomous AI agents. The project may investigate attacks such as prompt injection, adversarial medical-image manipulation
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facilitators to implementation within NHS workflows. Methodologically, the project will involve statistical modelling of longitudinal outcomes, NLP model development using transformer-based
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: https://www.nist.gov/programs-projects/nanoscale-imaging-and-spectroscopy-ir-nir-vis-beyond-diffraction-limit ) and/or applying PTR on specific materials or nano systems with efforts balanced based