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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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puzzles in a quantum simulation approach. Moreover, they allow one to engineer and investigate even richer variants of the model, which go beyond the realm of existing materials. In our group, we
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial nanoparticle libraries. Familiarity with advanced
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, and c) predicting new phenomena and discovering improved materials for applications. My efforts in this area use a variety of modeling approaches to answer questions on materials systems of interest
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, the Engineer will architect, engineer, and deploy AI pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models
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interdisciplinary knowledge and skills, such as modelling and artificial intelligence, advanced electrochemical analysis techniques, characterization, and materials synthesis. They will become part of a very strong
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build the sustainable companies and societies of the future. The Division of Materials Science at the Luleå University of Technology invites highly motivated candidates interested in conducting research
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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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or equivalent Skills/Qualifications The position focuses on the development and analysis of e-fuel production plant models for the Baltic region, leveraging expertise in advanced materials, process and system