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and contributing to reusable research software when appropriate. Position Requirements Required skills, experience and qualifications: PhD in computer science, applied mathematics, electrical
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computer-aided design software. Collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Ability to demonstrate strong written and oral
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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Demonstrated experience with HEP or NP detector design and simulation Proficiency in scientific software development (e.g., C/C++, Python, or similar languages) Ability to model Argonne’s core values of impact
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, LDAV, eScience, ISC, SC) Contribute software, prototypes, and design patterns to shared research infrastructure at ALCF and across DOE projects This postdoctoral position directly supports ALCF’s mission
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synchrotrons and x-ray free-electron lasers. Key Responsibilities Perform electronic-structure calculations using ab initio quantum chemistry methods and software (commonly CASSCF-based approaches) Investigate a
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frameworks such as PyTorch or TensorFlow Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib Strong experimental skills, curiosity, and initiative in research projects Job
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encouraged. More details on the CPAC group can be found on our website: https://cpac.hep.anl.gov Applicants should send: Curriculum vitae Brief statement of research interests Qualified candidates will be
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interests Three letters of reference More details on the CPAC group can be found on our website: https://cpac.hep.anl.gov Completed applications will be reviewed as received, with all applications submitted
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go