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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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Engineering, or a related field. Proven experience with cyber-physical systems design, real-time control, and digital twin development. Proficiency in C/C++, Python, MATLAB/Simulink, and relevant CPS software
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twin development. Proficiency in C/C++, Python, MATLAB/Simulink, and relevant CPS software frameworks (e.g., ROS, Unity, SCADA). Understanding of embedded systems, communication protocols, and systems
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molding. Experience with smart manufacturing, data analytics, or model-based process control. Background in aerospace or defense-grade composite certification standards. Proficiency in simulation software
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CPS software frameworks (e.g., ROS, Unity, SCADA). Understanding of embedded systems, communication protocols, and systems integration. Strong interest in student mentorship and interdisciplinary
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the organization of proposal applications in specific area of expertise, (d) administer the workstations and laptops in which scientific computation software are installed, (e) ensure all scientific data and
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fertilizers and soil microbial communities. Ability to perform statistical data analysis using R and other relevant software and draft technical or scientific reports. Ability to write manuscripts
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(e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and pilot tests. Draft technical reports and scientific publications. Coordinate with internal
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, applying them to diverse bacterial use cases, and contributing to the development of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding