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Field
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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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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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, spoken and written, as it is required in the daily work. As a person you are independent, take initiative and have a strong ability to collaborate in an interdisciplinary environment. Swedish citizenship
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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the daily work. As a person you are independent, take initiative and have a strong ability to collaborate in an interdisciplinary environment. Swedish citizenship. Preferred qualifications A doctoral degree
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an interdisciplinary environment. Swedish citizenship. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience
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image processing, image analysis and visualization. Qualifications We seek an experienced and driven individual who collaborates well and thrives in a complex research environment. Requirements
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and collaborative research environment that encourages creative thinking and ambitious research beyond the current state of the art. Being a doctoral student As a doctoral student, you are both admitted
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. The postdoctoral researcher(s) will join an international research environment at Umeå University, including Stat4Reg (www.stat4reg.se ), which develops statistical and machine-learning methods for register data