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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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data analysis capability, including experience with statistical software such as R or Python. Soft Skills: Strong academic writing, teamwork, and communication skills. Track Record: Evidence of academic
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Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), Visual C++, LabVIEW, Pythons, EEG, and eye-tracking systems Demonstrated expertise in the area of design, methods, modelling, and optimization
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or coding platforms including SketchUp, EnergyPlus, OpenStudio, TRNSYS, and Python; Proven ability to work at a fast pace and to react rapidly to new information; F1 experience would be advantageous but not
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the development of data-driven insights and scholarly publications Position Requirements: Technical Proficiency: Strong command of Python or R for data manipulation (e.g., Pandas, Tidyverse) and SQL for database
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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643 - Programming in Python and C
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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Systems Biology, Bioinformatics, Biotechnology, Biochemistry, or a related field. Applicants should possess experience in metabolic modeling and have proficiency in Python or MATLAB. We value a mindset
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large