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We are looking for 5 motivated postdocs to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering. You will contribute
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of critical raw materials from lithium-ion battery black mass and similar sources. Design and perform laboratory-scale experiments related to battery recycling and resource recovery. Characterize materials and
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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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through vehicle-to-grid (V2G) technologies and mobile energy storage. This project focuses on the design, modeling, control, and hardware development of fast charging systems for heavy-duty electric
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as a critical design metric. Key research objectives include: Mixed-precision algorithms: Designing and implementing mixed-precision formulations for key domain-specific kernels to leverage low
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initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Starting date: February-March 2027
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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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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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we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL
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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