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Field
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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an atom interferometry experiment using a Bose-Einstein condensate manipulated by an optical lattice. He or she will develop optimal control protocols to develop a cold-atom gradiometer. This project will
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algorithms for the robot and its pneumatic actuators, enabling actuation through a reduced number of control signals and fluidic supply channels. - Performance evaluation and optimization Experimental
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
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genomics teams at The Ohio State University, and USDA Agricultural Research Service (ARS). The research will evaluate multiple strawberry genotypes grown under controlled environments and optimize
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during periods with enhanced vertical mixing; 3. Optimality-based vegetation dynamics and stomatal control improves simulation of transpiration, soil water dynamics and CO2 assimilation compared
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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, predictive models), AI‑driven network functions (closed-loop control, optimization, anomaly detection, intent resolution). You are familiar with cloud-native development (Docker, Kubernetes), CI/CD pipelines
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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work