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activities. Your role As a professor in the Department of Computer Science, you will: Lead research in your area of expertise, with a focus on machine learning and foundation models, and have the opportunity
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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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Computing (HPC) environments Prototype using emerging computer vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards
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development activities at the intersection of Generative AI, Multimodal Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support
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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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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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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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, 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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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