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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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experience programming in Python or C++. Candidates who are interested in multiple projects within our group need only register their interest once and will be considered for all projects in which they have an
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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
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. This position offers an exciting opportunity to work in a dynamic, innovative research environment. Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/px/index.html Lab: https
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of previous outputs and professional development. C5 Proficiency in programming with Python, C++, and familiarity with AI frameworks. C6 Good understanding of WSI formats and tools (OpenSlide, QuPath
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LIST? Check our website: https://www.list.lu/ How will you contribute? The Post-Doc researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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protocols such as HTTP, SSL, SSH, JMS, JDBC, REST API, etc. Open source technologies such as Dockers, KVM, and Python Version control systems such as GitHub Typical Activities: Build and release management
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and