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provably powerful learning models for graphs will require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating
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compact models. Compact models are the optimum trade-off between the required physical functionality and computation intensity. As such, they enable the simulation of advanced and high-integration-density
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Published Friday 19 Dec 2025 Deadline Saturday 31 Jan 2026 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Introduction
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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The Faculty of Arts is a large and dynamic faculty located in the heart of the city of Groningen. More than 5,500 students and 900 staff work every day at the frontiers of knowledge. The Faculty
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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PhD position offers the opportunity to work in a cutting-edge experimental facility, addressing fundamental challenges in condensed matter physics. HFML‐FELIX builds on a strong background in cutting
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between high- and low-density flows, and effect of submarine canyon dynamics such as tides, internal waves, nepheloid layers, and up- and downwelling. This body of work suggests that conventional
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investigate deep learning methods for local data augmentation and adaptive point density control, addressing the anisotropy and uneven sampling typical of urban LiDAR. You will work on a four-year doctoral
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Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will develop new analytical theories and methods for complex systems of partial differential