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insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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, computational science, machine learning, and control engineering. Current collaborations involve major fusion facilities and research programs, including DIII-D (San Diego, CA, USA), NSTX-U (Princeton, NJ, USA
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat