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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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, ensuring that our quantum devices meet precise specifications. Your main responsibilities will include: • Experimental Design: Develop and optimize setups for post-fabrication frequency trimming
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the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the
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Engineering, we are seeking a researcher with a strong interest in developing and applying machine‑learning methods for materials design, in particular steel design. The position is part of our growing research
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feedstocks – including fibre structure, crystallinity, purity, accessibility and water retention – and relate these parameters to the suitability of the raw materials. You will plan and carry out systematic
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KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At
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programming of measurement scripts. Analysis of the measurement results to gain understanding on their operation and to design new devices. Writing scientific publications on the results and presenting them
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and interest in the position, including a description of how your experiences fit for working in the ongoing research project. A research plan (no more than three pages, references excluded
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning