77 machine-learning "https:" "https:" "https:" "The University of Edinburgh" scholarships in Italy
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https://phd.fbk.eu/calls/detail/artificial-intelligence-and-machine-learning-fo… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
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within a Research Infrastructure? No Offer Description Modern robotics is at a pivotal point. While traditional learning-based methods have shown success in navigation and manipulation, they remain
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efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices. Still, many challenges are ahead
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6 Mar 2026 Job Information Organisation/Company Università di Pisa Research Field Economics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 26 Mar 2026 - 13:00 (UTC) Country Italy Type of...
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Science, Telecommunications, Applied Mathematics, or related fields; Solid background in probabilistic modeling, Bayesian inference, information theory, and/or machine learning; Experience with signal processing or decision
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segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
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of their behavior. A particular focus of the thesis will be on the design and monitoring of collective systems populated by AI generative agents, and on improving their theory of mind, lifelong learning and social
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for more than 12 months in the 36 months immediately prior to your recruitment. Skills: Strong interest in AI/Machine Learning, Bayesian modeling and decision-making. Benefits Competitive Salary: Living
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methods, complemented by simulations of beta-decay chains relevant to post-fission energy release. Neural networks and other machine learning techniques will accelerate the discovery of radiation-resistant
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machine translation, and emerging agentic and interactive multimodal NLP systems involving human-AI collaboration present frontier evaluation challenges. The ultimate goal is to develop evaluation