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Field
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state-of-the-art verification techniques and tools for scientific software. The project is part of a program, sponsored by the U.S. Department of Energy and the U.S. National Science Foundation, named
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CSE applications through proxy applications representative of cross-cutting computation and communication motifs, and Software Development Kits (SDKs) seen as logical collections of well-integrated and
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such as journal refereeing, participation in national planning exercises, or service on professional organization committees (e.g., APS DPF Coordinating Panel for Software and Computing). Application
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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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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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, including direct knowledge of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. ● Prior hands-on experience contributing
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. * Prior hands-on experience contributing to the development
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candidate must have a PhD in computational chemistry, software development or a related area. In addition, have expertise in one or more of the following areas: CADD, CUDA and C++ programming Must have
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funded through the EU Research Framework Programme? Other EU programme Reference Number INV38_2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description