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denotational semantics, abstract machines, as well as string diagrams and graph rewriting. Some knowledge of category theory would be useful but not essential. Being able to formalise the frameworks and
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reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
artificial intelligence applications in drug development. You will gain experience researching advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition
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physics, cell biology, and machine learning to address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis is a critical stage in which collective cell
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
to increase ANDA review efficiency and quality. Use and development of artificial intelligence (AI), machine learning (ML) and large language models (LLMs) to help promote business intelligence in the Agency
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datasets from laboratory experiments will be provided to support simulation and verification of the resulting model. Replicate and learn a theoretical model for wave and current interaction by posing
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Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 30/03/2026 ▲ Collapse Job Title: Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering
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are offered an opportunity for an independent research project using lab data to gain experience conducting ecological data analysis, manuscript writing, and publishing in peer-reviewed journals. Learning
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in knowledge representation, in particular, logics for multi-agent systems. Many of the researchers of the DKM group are also affiliated with the Norwegian Centre for Knowledge-driven Machine Learning