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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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language processing, machine learning and skills taxonomies, you will help generate meaningful insights into current and future engineering skills needs. Your work will support industry, policymakers, educators and
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
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' narratives by tracing the histories of how weeds arrive in particular places; a decolonial ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning
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opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in advanced first principles computational
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institutions. The post-holder will have the opportunity to teach. Applicants should hold PhD (or close to completion) in Physics or a related field. A strong background in Galaxy dynamics and gravitational
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas
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. B1 lit. b (postdoc) Limited until: 31.07.2030 Reference no.: 5306 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support