34 machine-learning "https:" "https:" "https:" "https:" positions at University of Luxembourg
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framework to bridge this gap and enable organizations to confidently deploy secure GenAI solutions by evaluating the machine-learning models intrinsically, identifying components of an AI pipeline and their
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to: Develop and perform research in artificial intelligence and establish a research group. The position is open to candidates from a broad range of AI subfields, including, but not limited to machine learning
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to: Develop and perform research in artificial intelligence and establish a research group. The position is open to candidates from a broad range of AI subfields, including, but not limited to machine learning
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to: Develop and perform research in artificial intelligence and establish a research group. The position is open to candidates from a broad range of AI subfields, including, but not limited to machine learning
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from both the private and public sectors
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy