705 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Texas at Austin in United States
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/IP Linux network systems including security settings, audit mechanisms, compliance mechanisms and infrastructure mechanisms. Design and develop information security automation of modern computer Linux
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of well logs using reproducible Python pipelines, then curate and organize the filtered datasets within a structured Petrel project. The position will build and validate machine-learning electrofacies
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of interest may include, but are not limited to: · Artificial intelligence and machine learning; · GIS, mapping, and other geospatial analysis and visualization techniques; · Extended
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modern accelerator programming models (e.g., OpenMP offload). Proficiency in Python for scientific computing, including integration with machine learning and AI frameworks such as PyTorch, particularly in
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companies and Operator companies Ability to quickly learn geo-mechanical software and the ability to write computer code that implements physical models Demonstrate research ability through relevant
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with machine learning and AI. A demonstrated interest in applied work in any domain, while not required, is desirable. Statistics faculty in McCombs are an integral component of the research and teaching
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and fragile library and archival material. Create metadata for all digitized materials. Upload digital objects to computer server. Retrieve digital objects from computer server. Attend weekly meetings
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to implement and test machine learning based techniques in relevant or related problem domains. Demonstrated ability to work with subject matter experts when developing analytics. Proficiency using Python
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students' and scholars' cross-cultural adaptation, sense of belonging, and family/dependent well-being through first-year initiatives, skill-building workshops, service-learning projects, and networking
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Engineering, Computer Science, Computing Technologies or other related discipline. Demonstrated working proficiency with Red Hat, CentOS and Fedora operating systems concepts, practices, and procedures