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mechanisms. The objective of this PhD project is to develop AI-based surrogate models for microstructure-aware macroscopic mechanical behavior by leveraging the large datasets generated within the AMMETIS
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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necessary for this position. Where to apply Website https://www.academictransfer.com/en/jobs/359724/phd-urban-sound-modelling-for-a… Requirements Additional Information Website for additional job details
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Educational Background: PhD in Biophysics, Mathematics, Computer Science, or a related field. Strong foundation in dynamical modeling, particularly ODEs, PDEs, and probabilistic models. Technical Skills
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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is available at the PhD School’s website: https://www.science.ku.dk/phd/ . The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background
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applications for two PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO
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PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO-ICE, which
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by