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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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requirements for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. Contract terms This postdoc position is a full
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and Development (EOARD) and is a full-time research position. Qualifications To be qualified for employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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interdisciplinary research. Systems development may include, for instance: advanced materials, surfaces and fabrication; distributed sensors and actuators; quantum and photonic systems and interactions
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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amount of teaching and supervision at basic, advanced and/or postgraduate levels may be included in the duties. In addition to the mentor’s group, the postdoc will collaborate with national and
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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman