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Field
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instruments, data systems, and AI/optimization tools in cloud and local environments. Develop and maintain backend services, APIs, experiment-submission tools, and user-facing applications for SPEED. Integrate
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Texas A&M Engineering Extension Service TEEX | College Station, Texas | United States | about 11 hours ago
, and ultimately save lives. We are focused on enhancing organizational effectiveness by creating an optimal work environment that empowers employees to improve themselves and their communities
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Technologies , which investigates and develops technology, methods and models to improve infrastructure resilience, durability and safety. Extending safe usage through optimal maintenance and finding adaptations
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-visual equipment during events, ensuring optimal sound and visual quality. Act as a point of contact for event presenters and speakers, offering technical assistance as needed. Some events may be scheduled
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facility. The successful candidate will be responsible for developing and optimizing thin-film deposition processes, as well as providing user training and technical support for the operation and maintenance
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, temperature, durations etc) will be optimized to get the ideal yield of protein (by specific fungi) and short-chain fatty acid (SCFA). Lab related work: lab safety and instrument/facility maintenance, etc.
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• At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Master’s degree
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education or similar complex organizational environments preferred. Other necessary skills: LLM Expertise: Deep understanding of large language model capabilities, limitations, and optimal interaction
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of neuroscience, data science, artificial intelligence, and computational research. You will collaborate with investigators and research teams to develop, analyze, and optimize computational tools, datasets, and
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TensorFlow. The successful candidate will be able to develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational or system issues