4,779 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions
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work by further developing the code to include time dependent cohesive bonding between the ice blocks. Then you will use the code to model ice pile-up. The work will have a multi-scale component as you
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of functional inorganic materials, through integrated computational and experimental approaches. The project aims to move beyond traditional incremental materials development toward structure-driven discovery
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Classification Title: Postdoctoral Scholar in Natural Language Processing and Mammalian Evolution Classification Minimum Requirements: Ph.D. in natural language processing, computer science, data
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- Study of stability under operation - Development of kinetic models - Reactor modeling The work will be carried out at the ICPEES (Institut de chimie et Procéder pour l'Energie, l'Environnement et la Santé
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are based on the finite element method and advanced material modelling. Work duties The main duty is to conduct research. The project is primarily computational and includes further developing and validating
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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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interdisciplinary team possessing the skills and infrastructure needed to perform the proposed research. WISDOM program will also involve a strong network of industry partners which are committed to development and
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group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all