20 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Linköping University
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application! We are now looking to appoint a postdoc in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information
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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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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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into consideration. We are seeking applicants who have a PhD degree in machine learning, statistics, scientific computing, computational chemistry, applied mathematics, or a related area that is considered relevant
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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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collaborate with other lab members. You will work with preclinical models of brain injury, perform behavioral assessments, tissue processing, immunohistochemistry and stereology, gene and protein analysis
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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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the finite-difference time-domain method. Your qualifications By the start date, you have graduated with a PhD or equivalent in a relevant field for the position, such as physics, materials science or
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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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your application! We are looking for a postdoc in natural language processing for the project TrustLLM – Democratising trustworthy and efficient large language model technology for Europe. The project is