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. This includes, but is not limited to, autonomous and adaptive AI-integrated cyber systems that include intrusion detection, red-blue teaming (including modeling and accounting for human cognitive agents), as
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Bayes factor hypothesis tests in factorial designs. What are you going to do The envisioned projects will focus on the following activities related to Bayesian inference in factorial designs: Construction
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on the following activities related to Bayesian inference in factorial designs: Construction and elicitation of informed prior distributions; Critical assessment of default prior distributions; Organizing a many
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-integrated cyber systems that include intrusion detection, red-blue teaming (including modeling and accounting for human cognitive agents), as well as the development and evaluation of threat intelligence
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chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other
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) physics. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track
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to 1) Object-attribute compositionality to replace exhaustive data requirements with structured concept learning, 2) Bias detection and machine unlearning to identify and mitigate bias and shortcuts
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of a coherent communication strategy, guarantee consistent messaging across partner institutions, and coordinate communication activities at alliance level, towards agreed deliverables, objectives and
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with process safety and security concepts, accident modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding
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analysis Five areas have been identified for future Artificial Intelligence development and implementation in standardisation: A chatbot designed to help users discover standardisation information more