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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Faculty of Arts and Humanities at Umeå University develops arts and humanities and invests in future Areas
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description - with focus on education and research Do you want to lead the development
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technology, nanoscience, photonics, and future electronic systems — for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry, and society
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Arts and Humanities at Umeå University develops arts and humanities and
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sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the
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collaborate with leading researchers and experts from several universities and the Visualization Center C. The work offers opportunities to publish internationally and develop cutting-edge expertise in AI and
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technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and
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assignment in education and research – with the opportunity to influence and develop the medicine of the future. Description of the subject area Endocrinology is a cornerstone among the internal medicine
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. Information about the project This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming
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Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods