90 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory
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the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research and in dealing with others. Employ best practices, such as holding regular meetings, being
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architecture and suggest improvements. Oversee and guide the development and implementation of software features/controls to mitigate technical risks. Review code and ensure the team builds software that is
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element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload management (e.g., Slurm) and cloud
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documentation and training for electronic system operation. Maintain design files and software code in a central repository using a version control system. Develop and use software quality assurance procedures
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. Understanding of multidimensional and tabular modelling, vector databases, Graph DB. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. 2-3 years’ experience leading
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Scientist you will be responsible for: Developing high-quality code following best practices in the community for documentation, provenance, version control, etc. Participating in research projects in AI
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to assist the Division Leadership Team with staff development while providing direct and impactful mentorship to staff on regular basis. Lead by example by exercising the principles in ORNL's "Research Code
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) IT and Linux Systems Engineering and other Military Occupational Code (MOC) projects Service members will also have the opportunity to participate in career development opportunities to enhance
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Components (SSCs). Performs calculations and interprets industry code to support design development. Provides project management for installation of mechanical design changes. Provides engineering support for
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team, you will support research tasks related to optimizing codes for scaling foundation models training, fine-tuning to other downstream tasks, lead polygonization of building footprint vector