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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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gracefully when part of it is unavailable, and how machine reasoning can be made legible enough that a professional without a technical background can follow it, contest it, and overrule it. The work combines
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collaboration with industrial and public-sector partners. We expect the candidate to publish in competitive machine learning, software engineering and security venues, such as Neurips, ICML, ICLR, ICSE, FSE, ASE
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, online websites, and images, as well as methods for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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at SnT. SEDAN conducts research in data analytics and machine learning, with established strengths in FinTech, the security of blockchain and decentralized finance, and the security of networking
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at SnT. SEDAN conducts research in data analytics and machine learning, with established strengths in FinTech, the security of blockchain and decentralized finance, and the security of networking
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing
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, such that other team members can teach and support them Desirable: Having taken courses on soft matter physics and/or chemistry with good scores Experience in research on liquid crystals, elastomers and/or