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Field
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machine-learning forcefield parameters Knowledge/Skills/Abilities Quantum software and the MD simulation software. Programming skills in Python, Pytorch, C++, C or Fortran Job Duties Job Duty The
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Engineering Intern supports the deployment, documentation, testing, and routine operation of network and AWS cloud services used by PIA facilities and projects. Working under the direction of the
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, characterization, and testing to support research activities. Summarize findings from peer-reviewed publications, identify relevant techniques and approaches, and apply knowledge gained to assist with the design
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conditions. • Develop reproducible device fabrication workflows, design documentation, and standardized testing protocols to support scalable prototyping and design transfer. • Plan experiments, collect
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database design, sample and workflow traceability, and structured results management. Experience with reproducible software practices, including version control, testing, containerisation and continuous
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research environment that follows modern software quality standards, including version control, unit testing, documentation, and continuous integration. Motivated self-starter with the ability to work
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concepts into working experimental systems. The role will involve device design and assembly, electrochemical performance and durability testing, process development, and contributions to scale-up and
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testing to uncover processing–microstructure–property relationships. The candidate will have opportunities to interact with multidisciplinary teams and contribute to high-impact publications and
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software to include 3D anatomic features as well as features representing regional function; developing and testing methods for regional blood flow and ventilation; and utilizing output of quantitative
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classroom and/or project assigned. Description of Duties The following is a listing of typical duties that may be applicable to the position: Developing, testing, and analyzing research projects based on