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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who
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(R1) Positions PhD Positions Application Deadline 2 Oct 2026 - 17:00 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2027 Is the job funded
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who wants to design inclusive futures
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Research Title: Nutrient Dynamics in Cover Crops and Their Implications for Sugar Beet Nutrition, Soil Health, and Climate Resilience Research Description The Opportunity The UK sugar beet industry spends
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| Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5919 The research team “Climate Dynamics and Modeling” is part of the Department of Meteorology and
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of nanovideography to resolve atomic-scale quantum dynamics and to trace ensuing cooperative processes in systems of increasing complexity, directly in ultraslow-motion pictures. • Developing cutting-edge quantum
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multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a combination of theoretical research and the implementation of new statistical methodology and
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-fabricated pavilion using a team of aerial robots. HARPA is looking for two motivated PhD candidates who closely collaborate to enable this vision: PhD #1: Multi-Agent Planning and Control for Cable-Suspended
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deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient