894 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs at Nature Careers
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Job Description Join the Zhou lab ProteinPaint team (https://proteinpaint.stjude.org/team/) to contribute to the development of an open-source platform for biomedical data visualization, analysis
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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to grant submissions and publication outputs. You will relish the opportunity to interact with the other biomarker teams in the NBC (https://cruknbc.org/ ), to collaborate with investigators at the CRUK
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details, please visit our website at https://slst.shanghaitech.edu.cn/main.htm Shanghai Institute for Advanced Immunochemical Studies (SIAIS) Shanghai Institute for Advanced Immunochemical Studies (SIAIS
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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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Cloverdale, KPU is deeply connected to the communities it serves and to the diverse cultures, backgrounds, and lived experiences of its students. Through academic excellence, applied learning, innovation, and
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https