9 phd-position-in-data-modeling PhD positions at Delft University of Technology (TU Delft); Published yesterday
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). Perform anatomical dissections on human specimens to collect in-vitro data for model validation. Design and conduct motion capture experiments in diverse settings: laboratory environments, athletic fields
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energy transition; then, in half a page, briefly describe one mechanism constraining the transition, one policy or coordination lever to address such constraint, and how modeling or data could help
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points
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of a vibrational Non-Destructive Testing (NDT) approach that leverage AI to assess metal parts after the printing process. In this PhD position you will combine mechanics, data science, AI, and
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of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection
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stakeholders to get all the information you require as quickly as possible thanks to your independent mindset and well-rounded communication skills. Creative and flexible, you thrive on creating your own models
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Are you eager to perform cutting-edge molecular modeling to design plant-based dairy alterantives? Then, this position is for you. Job description You will join a unique project which aims
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methods and data-driven modelling techniques, the PhD candidate will investigate novel frameworks to accelerate SRS in HPC environments. The PhD candidate will work at the Ship Hydrodynamics section
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you like to address this urgent need and develop new methods to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e