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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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: learning theory, approximation theory, high-dimensional probability, information theory, mathematical analysis of neural networks, representation learning, robustness, and interpretability. · Probabilistic
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elucidation. ELECTRA is one node in a planned nationwide network of PCL Test Bed facilities that will let researchers anywhere, including at institutions with limited access to advanced instrumentation, submit
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, network/agent-based simulation) Experience developing and implementing ordinary differential equation (ODE) models for epidemiological systems Experience fitting epidemic models to data using Bayesian
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. Desired Experience: Experience with generative AI methods for molecular design, graph neural networks, protein language models, foundation models, active learning, Bayesian optimization, or reinforcement
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to scientific audiences as well as to external partners, stakeholders, and other end users of applied ecosystem science Expertise building Bayesian networks for ecological application Expertise working with
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
; Machine Learning; Artificial Intelligence; AI; PINN; Sensor Networks; Sensor Fusion; Optomechanics; Interferometry; Frequency Comb; Photonics; Acoustics; Sound; Sensing; Optics; Bayesian; Statistics; Signal
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experiments remotely. SPEED is supported by collaborators at NC State, UNC–Chapel Hill, MIT, industry partners, and an initial national network of academic users. Wolfpack Perks and Benefits As a Pack member
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quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo. Familiarity with inelastic neutron scattering