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sustainable separation processes. We are looking for a postdoctoral researcher to work in a project focusing on crystallization of rare earth elements. The work is part of a European collaboration project with
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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to the application deadline Hands-on experience with cleanroom fabrication techniques or precision manufacturing. Experience with CAD design and numerical simulation tools (e.g., CFD). Experience in 3D printing
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Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low
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. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
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challenges arising in circular battery value chains, where metals recovered through recycling processes may contain residual impurities that can affect precursor synthesis, particle morphology, and final
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must rely on the optimum combination and operation of technologies that maximize the use of renewable energy sources and provide flexibility for both the networks and end-users. These plants will likely
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal