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. • Proven skills in statistical methods, predictive analytic models, and/or related analytic techniques. Conditions of Employment This position follows a hybrid work structure where employees can work
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the carbon emission of modern production lines via operations management requires multiple coordinated tasks ranging from detection, diagnosis, prediction, solution recommendation, and efficient monitoring
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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simulations with advanced capabilities are essential to predict turbulent transport and plasma-wall interactions in realistic geometries. Objective: A 2-year postdoctoral position (renewable) is available
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activity concerns the development and validation of advanced numerical models for multiphysics simulations of high-pressure combustion, with space propulsion and Liquid Rocket Engines (LRE) as reference
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28376 Doktorand*in (m/w/d) Stellenanzeige merken Stellenanzeige teilen sought at the earliest possible
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured
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and combustion of iron/regolith mixtures, especially in the condensed phase. 2. The lack of predictive models for designing controlled combustion systems suited to the constraints of long-duration