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Field
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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states and inputs, such as path flows, boundary conditions, and other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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. Strong organizational and project management skills. Excellent written, verbal, and interpersonal communication skills. Demonstrated scientific writing ability. Basic proficiency with standard computer
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an observatory of these ecosystems and to develop data-driven methods that make their activity legible: characterising how illicit practices emerge, stabilise, and spread across platforms, communities, and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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reduction of wind-tunnel experiments by 87% between the late 1970’s and the late 1990’s, corresponding to a reduction of energy consumption which can be estimated as 8.7 107 kWh while reducing the fuel and
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV