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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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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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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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27 Mar 2026 Job Information Organisation/Company Hasselt University Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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Modelling groups. A new PhD project is starting this year at the Nansen Center; “The reliability of generative emulators of the Arctic Ocean”. The objective is to investigate how much the Arctic Ocean
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be embedded within Moderna's Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages
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models, cell culture, immunologic assays Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMMI0326/MD/DII Requirements Research FieldOtherEducation LevelPhD or equivalent
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related