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Field
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Classification Title: Post-Doctoral Associate in Philosophy and Ethics of Artificial Intelligence Classification Minimum Requirements: A PhD in Philosophy, Computer Science, or another AI-related
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candidates with expertise in areas such as: Construction Informatics Digital Engineering BIM and Digital Twins Artificial Intelligence and Machine Learning Automation and Intelligent Systems Smart
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:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications. A strong background in theory (e.g
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Smart Damage Sensing, Sustainability and Green Energy Production), a multidisciplinary research program combining polymer chemistry, functional materials, photocatalysis, artificial intelligence, and high
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environment, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu