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                models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based 
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                of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A 
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                computing for sustainable development, algorithms for energy efficiency, or AI for modelling social behaviour in relation to sustainability. Justification of duration A contract duration of three months is 
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                a strong desire to understand and solve societal challenges. You should be able to work independently and, in consultation with your PhD supervisor, prioritize the different aspects of your work 
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                twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial 
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                the extent to which you have relied on such models. Copy of diploma for both bachelor and master education and relevant certificates Copy of the applicant’s master’s thesis as a PDF file Name and contact 
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                - Funding is available for leading conferences Access to High-Fidelity Simulations - The project will use OpenFAST, FAST.Farm, and Digital Twin simulations for AI model validation. ✔ Artificial Intelligence 
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                research. • Research training periods in another consortium member's lab lasting from a few weeks up to three months, performed in a different EU country than the country where most of the project will 
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                understandings still influence contemporary studies and clinical work. Making these connections and differences tangible, enables a more reflective approach to our current view of disease, and how these influence 
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                modeling and simulation, as well as patient-focused and policy-related studies, ranging from individual drug optimization to pharmaceutical policy analysis. More about our research: https://www.uu.se