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of Mathematics and Mathematical Statistics, alongside Computational Mathematics, Mathematical Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research
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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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to join our research team for a project focused on battery modelling, state estimation, fault diagnosis and control. Information Batteries are at the core of the sustainable energy transition by powering
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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on understanding how conifers adapt to new environments by developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit: Department of Forest Biomaterials and Technology | slu.se
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chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other