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Field
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-dimensional multi-omics and spatial datasets generated from cancer models and translational human specimens. The position will focus on developing and applying innovative computational approaches to understand
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relocations services, please visit talent.arizona.edu Duties & Responsibilities Develop mathematical, computational, and/or control-theoretic models of recurrent neural dynamics, with particular emphasis on how
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advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system optimization Integrate real-time sensor data and telemetry
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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-boundary MHD surrogates) for real-time predictions and control-oriented execution (<1 ms execution time). Advanced Control Synthesis: Synthesize and computationally test model-based (Model Predictive Control
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system integration A record of peer-reviewed publications Experience with AI/ML-based control, such as reinforcement learning, learned or model-predictive control, or vision-guided manipulation Experience
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be expected to model prototypes of the fiber optic based sensors using standard Multiphysics software, perform out-of pile laboratory testing of the instruments in representative environments, and
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. The successful applicant will develop physics-based and empirical models for uncertainty in acoustic propagation and validate them with existing ocean acoustic data sets. This position is fully funded for two
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cryogenic optics is strongly preferred. Experience with pulse-sequencing and control electronics (arbitrary waveform generators, FPGA-based quantum controllers, time taggers) and with scientific programming
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. These models will leverage data collected from multiple sources, including unmanned aerial systems (UAS), satellite imagery, ground-based sensors, and other spatial and temporal datasets. The candidate will also