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The joint Center for Life Sciences (CLS) at Peking universities invites application for its International Fellow program. As the most vibrant, interdisciplinary and prestigious life science center
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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and computational methods. For a computational project, for example, this enables generating new datasets, and experimental testing of in silico predictions. The group is funded by European Research
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of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism
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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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, the School seeks exceptional scientists applying advanced computational methods to address fundamental questions in biology and medicine. Areas of interest include, but are not limited to, AI
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, Computer Science, or a related field is required, along with image analysis skills (biological or medical image analysis preferred), including denoising, segmentation, and detection of specific patterns. The ideal
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/or chromatin biology, and with a background in genetics, functional genomics and/or computational biology. Chromatin modifications are conserved across eukaryotes, but their combinatorial function
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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week