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Field
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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: Onboarding and Integration, and Innovation and Creative Capacity. The work will focus on investigating how hybrid work arrangements influence learning, collaboration, innovation, and organizational performance
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and future designs, including small modular reactors (SMRs). The project builds on research conducted within CaNel – Calibration of Fuel Performance Codes, where methods based on statistical
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and mentor postdoctoral researchers The assessment of pedagogic skills will consider the ability to: plan, conduct and evaluate their own teaching at basic and advanced levels, including doctoral level
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are designed as a pair. In-house capabilities include an Ar glovebox, Schlenk lines, air-free PXRD, single crystal diffraction, TGA-DSC, Raman & IR spectroscopy, in part housed in the Chalmers Materials Analysis
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validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
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machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable
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this project. For more information see (https://lundmark-lab.se/ ) Work responsibilities Culturing and analysing mammalian cell models for infection Designing and developing infection models of flavivirus and
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Star Programme, a new excellence initiative designed to strengthen research quality and international competitiveness here: https://www.umu.se/en/northern-star/ . The Faculty of Arts and Humanities
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. Contribute to building a strong national and European AI community. Collaboration and innovation Collaborate with experts from academia, industry, and the public sector. Help identify new opportunities for AI