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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance
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impacts of barrier winds and tip jets in current and future climates via time-slice comparisons from state-of-the-art climate model simulations. Training You will use observations from a series of Norwegian
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-making methods to find effective and efficient integrated planning solutions based on existing tools at Netherlands Railways and newly developed optimization models. Simulation studies will be applied
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related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non
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sensing (e.g., PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards
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-of-the-art flume laboratory, use advanced CAESAR-Lisflood models to simulate entire catchments, and deploy field monitoring equipment to measure potential flood reduction or amplification. This project offers
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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 27 days ago
for osteosarcoma (OS) is hindered by limited knowledge of its biology and the lack of biologically relevant tools to test the efficacy of new approaches. This project aims to develop advanced 3D in vitro models and
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simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work / help our technicians
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developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work