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the service life of infrastructure. The research content includes: real-time data analysis and modeling pipeline network dynamic prediction and state identification optimisation algorithm and high-performance
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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developing a hybrid and multi-cloud water science environment to support a collaborative experiment to analyze the National Water Model and improve US capacity for critical flood and drought prediction
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, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence
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80%-100%, Zurich, fixed-term The Center for Climate Systems Modeling (C2SM) is one of ETH’s extradepartmental centers and partners with MeteoSwiss, Empa, WSL, and Eawag. One central focus of C2SM
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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will involve model training, test rig set-up, and experimental validation Job Requirements: The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will