56 algorithm-development-"Multiple"-"Prof"-"St" positions at Chalmers University of Technology
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of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
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project focuses on developing and refining advanced organ-on-chip technologies to study and optimize nanoparticle-based delivery systems in biologically relevant environments. The project is strongly
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of AI and materials science, addressing real-world challenges in thermal management for high-performance computing and 6G infrastructure. We offer: (1) You will develop marketable skills in AI, ML, and
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to the development of advanced methods for electrode fabrication, with a particular emphasis on electrophoretic deposition. You will also conduct electrochemical testing under applied magnetic fields to improve
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this role, you will focus on developing catalysts and carrying out detailed characterization experiments that can support the future production of electrofuels and electrochemicals. You will be part of a
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research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
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properties. Advanced characterization methods and development of new techniques – We specialize in hyphenated rheological methods such as rheo-SAXS and rheo-DES, which are primarily applied to materials like
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery