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the assigned salary range for This is a postdoctoral position working on a project entitled, “AI-Powered Multi-Agent System (MAS) for Real-Time QoS Anomaly Detection and Adaptive Network Optimization
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processing, characterization, and mechanical testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer
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, and related fields. Preferred Qualifications: Experience in optimization methods and/or efficiency analysis (DEA, stochastic frontier, dynamic optimization). Experience with production function
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learning, reinforcement learning, surrogate models, and optimization techniques, to enhance robotic autonomy and mission performance. Develop and validate digital twin environments for simulation
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, and interpret experiments supporting development and optimization of REFtb diagnostic reagents and workflows. Express, purify, quantify, and characterize BlaC and related beta-lactamase proteins
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for plant water stress and irrigation optimization. -Study drought impacts on land-atmosphere interaction. -Prepare and publish articles in national/international peer-reviewed scientific journals that
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learning platforms. Knowledge of data-driven approaches to material design and optimization. Proven experience and strong interest in collaborative research with peers across disciplines particularly with
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experiments, immunogenicity studies and vaccine optimization) Interest in contributing to the developing vaccines and strategies to control and prevent infectious diseases in animals, with emphasis on
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funding. Responsibilities: Research and Lab Operations Design and Fabrication: Lead the development and optimization of cardiac patches and injectable biotherapeutics using advanced biomaterials and
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. Proficiency in mathematical modeling (Game Theory, Optimization, or Control Theory). Advanced programming skills in Python, C++, and MATLAB. Excellent written and oral communication skills, with a proven