100 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Sweden
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for a project that aims to develop luminescent carbon dots for light-emitting applications. The position is full-time for two years, starting on November 1, 2026, or by agreement. The deadline
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affiliated researchers across various projects. You will join a welcoming and intellectually curious research environment where postdoctoral researchers are encouraged to develop their own ideas, take projects
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on the development and implementation of approaches for functional validation of regulatory elements in conifer systems. The work will bridge large-scale regulatory genomics with experimental molecular biology to
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structures. Development of textiles as test instruments. Textile characterisation and studies of actuation. To participate in clinical studies and analyse the outcome through biomarkers, pain estimation scales
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members. Duties The successful candidate will conduct teaching, research and supervision in practical philosophy and strive, in collaboration with the department’s other staff members, to further develop
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scientific environment and outstanding opportunities for scientists to develop and specialize in their scientific areas of interest. Work assignments You will join a vibrant international team led by Prof
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Northern Fennoscandia. The successful candidate will be responsible for laboratory work in this project, further developing the method for practical application to contexts in ecology and conservation. Main
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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within
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of this project is to develop and evaluate a novel gene therapy strategy that selectively suppresses the pathological neuronal activity associated with dyskinesias while preserving normal brain function
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constellation of SciLifeLab researchers and infrastructure units. This position is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab. Our lab develops deep learning models