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€ 2,770 (salary scale PhD candidates) gross per month in the first year, up to a maximum of € 3,539 gross per month in the fourth and final year, based on a full-time position. A holiday allowance of 8
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Build a microservice-based digital platform enabling plug-and-play analytics apps. Create user interfaces to simplify deployment of ML models on the platform. Develop hybrid predictive maintenance models
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conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research experience
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, resilience, and sustainability of stormwater management. The research will focus on integrating AI and machine learning with hydraulic-hydrologic modeling, urban planning strategies, and nature-based
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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, a state-of-the-art process-based model for groundwater risk assessment and contaminant transport modeling. By improving predictive modeling of transient contaminant source terms, this research will
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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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The research group of Distributed Ledger Technology and Fintech (Prof. Fabian Schär) of the Faculty of Business and Economics at the University of Basel invites applications for a PhD position with a 60% appointment. Research Group The research group is dedicated to researching practical issues...
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in