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Field
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. Integrate, check out and debug various assemblies such as Mechanical, Electronic and Software components into a working assembly as per the intended design. Collect data and measure performance of various
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/ML models and hardware/software co-design for AI applications. ● Radiation testing of electronic systems, with an emphasis on single event effects. Preferred Qualifications: ● Experience in
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programming (Shared and Distributed memory, GPU programming etc.) Demonstrated experience with distributed memory MPI programming Experience with collaborative software design, development, and testing
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chromatography and liquid-liquid extraction Experience with automated control systems. Familiarity with Aspen Plus software, Python, thermodynamics, and general chemical purification techniques. Familiarity with
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/ML models and hardware/software co-design for AI applications. ● Radiation testing of electronic systems, with an emphasis on single event effects. Preferred Qualifications: ● Experience in
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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(e.g. Docker, Singularity) is desirable. Solid understanding of software development best practices (version control, testing, documentation). Mentoring Skills: Proven ability to mentor and teach others
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data scientists to identify trends, patterns, and opportunities for improvement. Coding & Software Development: Codes, tests, and refines software applications tailored for the radiation oncology domain
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interdisciplinary and collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough
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. Integrate domain knowledge from power systems with modern ML methods to create physics-informed, interpretable, and operationally relevant solutions. Build and evaluate models using realistic utility or test