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following responsibilities: ● Adapt, enhance, and validate an existing bottom-up/activity-based emissions model to examine maritime shipping emissions at a global scale. See https://www.sciencedirect.com
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behavior and identify therapeutic leverage points Develop and characterize complex 3D patient- and iPSC-derived models Design, perform and interpret complex experiments; ensure high data quality and
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materials. Experience working with physically based forward and inverse modeling of time-domain AEM data as indicated in application materials. Experience working both independently and collaboratively as
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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, interfacial phenomena, and performance degradation induced by e.g. salt accumulation or Al deposition. By leveraging your experimental data with the modelling approach of the collaborating Post Doc, we aim
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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directly to hep-th@ijs.si. Application Materials Required: Further Info: http://web-f1.ijs.si Jamova 39, 1000 Ljubljana, Slovenia
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
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role areas are: Developing and applying advanced molecular thermodynamic theories and models for water and electrolyte systems relevant to energy, materials, environmental, and biological applications
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interdisciplinary teams specializing in solutions-oriented research while using a partnership model of research. The partnership model works to jointly design, develop, and conduct research that values diversity in