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Field
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learning (RL). 2) The Automation Group: Experts in designing and deploying custom robotic systems engineered for high-throughput sample synthesis, processing, and analytical characterization. This role is
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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degree, in speech or audio processing, machine learning, signal processing, computer science, electrical engineering, or a related field. Strong interest in doctoral research on audio deepfake detection
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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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collaborates with leading tech firms and advance research in robotics, AI, battery technology, aerospace, water systems and sustainable energy. Learn more at unr.edu/engineering Exempt Yes Full-Time Equivalent
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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, statistical, machine-learning, deep-learning, and decision-oriented methods for complex scientific and engineering datasets. Major tasks may include developing models for classification, regression, anomaly