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to develop new DNA/RNA nanostructures that can act as targeted nucleic acid therapeutics for cancer. Rather than designing and testing such vehicles one at a time, the project will use a high-throughput
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, and experience of working at the interface between fundamental research and therapeutic innovation. Project description Project title: “RIBO-LINC: Linking data-driven solutions and RNA innovation
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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to communicate fluently in English, both written and spoken. The following qualifications are not essential but are considered highly beneficial: Experience with foundation models, transformers, generative models
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vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your
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are not required at the time of the application. A personal letter (max 1 page) which includes Described motivation for the application for this position; Up to three main scientific achievements
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biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. Proteins are dynamic molecules whose biological functions are controlled not only by their folded structures, but also by
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minor part of the PhD project will involve molecular labwork and growth chamber experiments with plants (willows). Experience with these tecniques is helpful but not essential; however, we do expect
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for employment. Please do not send offers of recruitment or advertising services. Submit your application through Uppsala University’s recruitment system. Placement: Department of Information Technology Scope