108 algorithm-development-"Multiple"-"Prof"-"Prof"-"UCL" Postdoctoral positions in Sweden
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and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as
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, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA
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develop new quantitative tools to study human tissue in a clinically relevant context. Gothenburg is quickly becoming a hub for life sciences in the Nordics, with a strong focus on research and innovation
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We invite applications for a two-year post-doc position in the field of Organic Electronics, with the focus being on the development of light-emitting electrochemical cells (LECs). LECs
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materials? We are looking for a dedicated postdoctoral researcher to develop bio-adhesives and additives that meet both sustainability goals and industrial demands in the wood composite industry. In
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of sustainable materials? We are looking for a dedicated postdoctoral researcher to develop a suite of bio-based and low-carbon emission coatings tailored for applications in the wood construction sectors. In
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research subject, Product Innovation. The research subject Product Innovation focuses on various aspects of innovation in the product development process, from early phases of innovation to production and
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Description The lab of Kristine Steen Jensen is looking for a highly motivated and self-driven postdoctoral research-candidate for the development of systems for producing proteins with posttranslational
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for strategic development: materials research, integration of batteries with power electronics, and safe energy storage. This position is associated with the COMPEL platform located at the Centre for Analysis and
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal