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Field
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Posting Details Position Information Department/College ATLIS Position Title Director of Athens Teaching, Learning & Innovation Services (ATLIS) Job Category Staff Posting Number 00543 FLSA Exempt
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industry. The project will leverage Explainable AI (XAI) and Machine Learning (ML) to accelerate skills development, improve consistency, and support digital transformation across the sector. The University
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machine learning and AI acceleration. Perform performance, power, and area (PPA) analysis of processor and accelerator designs. Publish research findings in top-tier conferences and journals and contribute
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worldwide. We host a vibrant doctoral training programme in Science, Technology and Innovation Policy (STIP), currently comprising around 28 PhD students across all cohorts. The Institute and Division also
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and digital forms, and who can teach across the undergraduate and graduate graphic design curriculum, including foundational studios, typography, visual systems, interaction design, and advanced
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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machines, 3D printers, and other specialized prototyping tools. The Innovation Lab Assistant plays a key role in supporting student learning by providing technical guidance, reinforcing safe and effective
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, interaction design, Human-Computer Interaction, human-centred AI, UX research, immersive or interactive media, and other related areas. Teach and supervise topics in the Bachelor’s and Master’s programmes in
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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or computational protein design. In particular, you will have: A PhD, or near completion of a PhD, in machine learning, structural bioinformatics, computational biology, computer science or a closely related