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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Foundational Models for Human-Machine Interaction Work plan: The work consists in develop a system
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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Unsupervised Incremental Representation Learning for Ground-Based Drones in Dynamic Industrial
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tunnelling FET. Qualifications • PhD degree • Strong communication skills, motivation in scientific research, and experience in writing scientific papers are required. • Recent Ph.D. or postdocs with
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tunnelling FET. Qualifications • PhD degree • Strong communication skills, motivation in scientific research, and experience in writing scientific papers are required. • Recent Ph.D. or postdocs with
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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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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted
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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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biophysics and machine learning for the accurate prediction and design of functional enzymes; and explore their real-world applications. Job Requirements Ph.D. in a relevant area, e.g., Chemical Engineering
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(R2) Positions Postdoc Positions Application Deadline 6 Sep 2026 - 00:00 (Africa/Abidjan) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Sep 2026
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system