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microstructural features to macroscopic mechanical behavior. The objective of this PhD project is to develop advanced mesoscopic crystal plasticity models capable of capturing microstructure-dependent plastic
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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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The Malawi Liverpool Wellcome Research Programme (MLW; https://www.mlw.mw) and the University of Liverpool seeks a senior mathematical modeller to establish and lead a team of mathematical modellers
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» Applied mathematicsEducation LevelPhD or equivalent Skills/Qualifications PhD in computational modelling or applied mathematics Additional Information Selection process Apply by sending an email to
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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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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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