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for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
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, integrity, collaboration, inclusivity, and accountability make us an employer of choice. We are part of the University System of Georgia . We are searching for talented people to join Kennesaw State
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
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of functional membrane proteins embedded in a micelle or lipid (nanodisc) environment Site-directed mutagenesis for site-specific incorporation of spectroscopic probes (e.g. spin labels or fluorescent labels
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interactions Perform in vitro transcription, RNA purification, labeling, and structural probing Analyze experimental data, interpret results, and contribute to manuscript preparation Present research findings
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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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include expressing recombinant proteins in insect, mammalian, and E. coli cells; purifying proteins using FPLC systems; performing in vitro RNA transcription and labeling; carrying out in vitro assays
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep