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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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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
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on major national tasks around synthetic and engineered cells, leading the CAS Strategic Research Program (Category B) and the National Natural Science Foundation of China's Basic Science Center Project
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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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learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine
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mechanisms. The work will be performed within a multidisciplinary lab located in the CRG. About the lab The Regulatory Genomics and Diabetes lab aims to uncover genetic mechanisms causing diabetes mellitus
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Center for Genetically Engineered Mice and the Key Laboratory of Model Animal and Disease Research of the Ministry of Education. The School of Life Sciences, originating in 1914 as China's first university
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biological data Hands-on experience with workflow management systems, container technologies, and CI/CD tools Desirable but not required/ Nice to have Familiarity with cloud computing platforms (e.g., AWS, GCP
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-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities