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in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information Technology, Campus Norrköping. The postdoc
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. The workplace The Pantazis lab , at the Division of Cell and Neurobiology, CNB, focuses on the molecular physiology of ion channels, their regulation, and effects of mutations associated with diseases
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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Inference for Statistics, Social, and Biomedical Sciences, or Pearl, 2016, Causal Inference in Statistics) Training deep learning models at scale on compute clusters. The candidate should have a proven track
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. Our innovative work focuses on the dynamic coupling of ion and electron movement. Our research topics include synthesis, material science, theory and modelling, device physics, nanotechnology
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment
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, raw materials, and wastes) and usually lack uncertainty quantifications. The goal of this project is to integrate probabilistic machine learning methods and models to accelerate CFD computations and
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within material physics, primarily theory and modelling of atomically laminated materials. We will use open data bases and high-throughput simulations to explore a wide range of known and hypothetical 2D
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modeling, device physics, nanotechnology, biotechnology, and system design. Our activities span the range from basic research to commercialization, the latter carried out in close collaboration with
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. Meritorious experience includes nanofabrication (e.g., electron-beam lithography), relevant characterization and measurement methods, electrochemical redox-tuning and optical modeling. We also value qualities