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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We
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working system – are one of the keys. The hard part is not the dies, but the interconnects between them. We are looking for a PhD student to create those interconnects in a fully additive way: laser
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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. The hard part is not the dies, but the interconnects between them. We are looking for a PhD student to create those interconnects in a fully additive way: laser micromachining, selective metallisation and
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to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics