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Field
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monitoring data, or remote sensing applications. Experience with geotechnical software (e.g., RocScience suite, FLAC) and data visualization tools. Experience using Python or similar scripting languages
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experience writing software in C++ and Python, using libraries and technologies including CUDA, ROS, ROS 2, PyTorch, Docker and CI/CD tooling. You will be able to create and debug large software projects
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training; knowledge of relevant theoretical models; proficiency with a modern programming language, e.g., Python, R; and ability to work in teams (e.g. organizational abilities). This is a one-year research
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performance networks (Infiniband) Proficient in scripting languages (i.e. Bash, Python, Ruby) Familiar with configuration management tools (Puppet) Proficient documentation skills Will have working level
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to the broader research team Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics Document data
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MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins
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skills You will enhance your professional skills by contributing to: Research software engineering for biomedical AI Refactoring and modularising scientific Python code. Turning research prototypes
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, peers, and leadership. Experience with bash, ansible and python for system management tasks, or demonstrated proficiency with other scripting languages for system management tasks. Additional Posting
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: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across the full development
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals