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for You We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: Team & Environment: You will work
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from all world regions. A key methodological innovation is the large-scale application of advanced Large Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted
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offer opportunities to gain teaching experience. Educational support includes supervising bachelor's and/or master's theses, assisting with examinations, and supporting the preparation and delivery
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ice, permafrost, and ice-rich planetary systems. You will help contribute to a new experimental platform for low-temperature geochemistry at ETH Zurich and engage in an emerging research direction
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things, intelligent assistants and company-specific search functions. However, we notice that companies still have many questions about reliability: modern LLMs still do not guarantee correctness and
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quantum computing with decades of expertise in computational science. In this PhD project, you will help develop the foundations of Quantum Computational Fluid Dynamics (Quantum CFD). You will investigate
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solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment
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to staff position within a Research Infrastructure? No Offer Description Grant/funding reference: 0361_EXOCARE_GNP_1_E Job title: Exocare_GNP - Joint strategy for assisted mobility Research line
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/Master’s students in small projects or theses assist with proposal writing for research funding, if applicable Requirements: university degree (M.Sc.) in Computer Science, Artificial Intelligence, Data
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candidate) PhD program in business economics (at most one candidate) of the Faculty of Economics and Business of KU Leuven (for more information, see https://feb.kuleuven.be/research/PhD/PhD ). As a PhD