38 next-generation-wireless-communication PhD positions at Chalmers University of Technology
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
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communication, signal waveforms, signal processing and Earth observation with a multidisciplinary team of international experts. Who we are looking for We seek candidates with the following qualifications
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your own doctoral studies. You are expected to: Develop your own scientific concepts Communicate the results of your research verbally and in writing, in English The position generally also includes
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learning based materials modelling Communicate your research by presenting your results in scientific journals and at international conferences The position generally also includes teaching on Chalmers
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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skills in quantitative modelling and analysis Strong written and verbal communication skills in English The following experiences will strengthen your application: Master thesis involving life cycle
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, microstructure generation and machine learning based materials modelling Communicate your research by presenting your results in scientific journals and at international conferences The position generally also
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(SPEs) for next-generation solid-state batteries. The position is a full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering