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, including LiDAR, cameras, inertial sensors, and camera tracking systems. Strong programming skills in C++ and/or Python, with experience developing software using Robot Operating System (ROS/ROS2). Experience
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laboratory, simulation, or field-based experiments Experience developing software using Python, MATLAB, C/C++, ROS, simulation environments, or other scientific computing tools applicable to autonomous systems
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, Python, and web-based applications. Train, test, evaluate, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure the security
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, TGC 2054, etc. Scripting experience of some kind (Python, Bash, Powershell, etc). Hands-on technical expertise, knowledge of security frameworks and policies, and analytical thinking. Soft skills like
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, R and/or Python) for transcriptomic analysis and data integration. Experience in bacteriology and BSL-2 practices, including Salmonella or other enteric pathogen culture, serotyping/purity
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, GraphPad Prism, Python/R, or related tools. Experience or interest in cancer pharmacology, immuno-oncology, natural killer cell biology, drug discovery and development, translational therapeutics, blood
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research, with proficiency in research software appropriate to the candidate’s methodological expertise (e.g., R, Python, SPSS, NVivo, or MAXQDA). Experience designing, deploying, or evaluating generative AI
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of education and experience. Preferred Qualifications Proficiency in programming languages such as Python and frameworks like Ruby on Rails. Hands-on experience with cloud systems, including AWS, Azure, and
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and student outcomes associated with those courses. The engineering courses include, but may not be limited to introductory engineering; python programming; statics and dynamics; mechanics and
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biomechanical and/or statistical analyses in a computational scripting language (MATLAB, Python, R). Experience trouble-shooting research equipment and software. Experience writing standardized operating