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Field
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branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6
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(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical
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an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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, would be a valuable step forward in understanding damage in engineering materials. This PhD will focus on development of mesoscale modelling and simulation approaches for intragranular mechanical
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adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R (see Cyron et al., 2016 ). You will then simulate cartilage
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Development of simulation and optimisation models for smart charging and bidirectional charging of electric vehicles Modelling of renewable energy generation and consumption within energy communities
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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analysis. Use theoretical models to rationalize data. Link to the publication on the website: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=930667 Where to apply
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
Computational Modeling for the Discovery and Characterization of New Metalloenzyme-catalyzed Reactions” Computational Bioinorganics: From Description to Prediction, John Wiley & Sons https://doi.org/10.1002