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computer. The WACQT team at Chalmers currently has about 100 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students). WACQT is committed to promoting
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– managing technology, data, and intellectual property as central resources in innovation and growth. The ideal candidate has a proven publication record, or a robust pipeline of manuscripts, targeting top
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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. Project overview The postdoctoral researcher will develop and evaluate methods for recycling spent sodium-ion batteries. The work will involve experimental research in aqueous chemistry, with particular
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data science with applications in medicine. The research will be done the research group of Erik Kristiansson and in close collaboration with international scientists from different disciplines
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and
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position is filled. Contact information For questions, please contact: Prof. Christian Müller Department of Chemistry and Chemical Engineering Email: christian.muller@chalmers.se | Phone: +46 31 772 2790
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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at the Division of Systems and Control, Department of Electrical Engineering at Chalmers University of Technology. Project description Lithium-ion batteries are critical for electrified transportation and smart