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, the supply chain will be modeled as a discrete-event system to capture flow dynamics and disruption propagation mechanisms. This model will be embedded within a digital twin environment enabling the simulation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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The School is looking to appoint to a Lecturer within the Department of English. Further details of the School can be found at https://www.qmul.ac.uk/arts The post is full-time and fixed-term (12 months) and
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as well as providing clinical services for a population of unrivalled ethnic diversity in east London and the wider Thames Gateway. Further information can be found at https://www.qmul.ac.uk/fmd
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linearization with limited or imperfect models. Learning-enabled control dynamics Embedding optimization and learning algorithms (e.g., SGD, Bayesian updates) into control design and analysis. Attack-tolerant
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• Position: TV-L E13 (65%), with the opportunity to pursue a doctoral degree (PhD) • Start date: from July 2026 • Research community: The position is embedded in the BioSysteM Cluster of Excellence, offering
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, first on whether these indeed drive these aberrant states, and second on whether these indeed drive the growth pattern. You will be embedded both within an experimental and computational team, providing a
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of intelligent short-range sensors for the emerging Internet of Things (IoT) technology. Such sensing devices can be seamlessly embedded into objects, products, buildings or integrated onto clothing or directly
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE