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signatures for data association and state estimation, and learning-based prediction models that anticipate the future motion of vessels seen in the radar data, based on the radar data, local geography and
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hydrologic model software development projects. AWI is creating a replicable, hybrid HPC-cloud water science environment to support a collaborative experiment to analyze the National Water Model and improve US
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, Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within the structure and resulting inundation – requires advanced modelling techniques. This research
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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rate). Additional project costs will also be provided. Overview Coastal flooding poses a significant and growing threat to communities worldwide, intensified by climate change and sea-level rise
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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
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. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
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hybrid working model. In this role, you can work from our Espoo office as a primary location, if that's more convenient location for you, but regular visits to Hyvinkää are required. GenAIDE (Generative
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conducting controlled experiments to validate and calibrate models. Collaborating closely with industrial partners to apply findings to representative aerospace and mechanical assemblies. Your research will
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems