46 parallel-processing-bioinformatics-"https:" positions at Linköping University in Sweden
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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Linköping University and has 12 partner universities across Sweden. We are now seeking a structured and proactive project manager to support the management of the Mimer AI Factory in the daily operation of
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. We are hosted by NAISS in partnership with RISE Research Institutes of Sweden and is part of the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https
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member states to advance AI innovation, training, business and workforce development. Read more: https://www.naiss.se , https://mimer-aifactory.eu , https://eurohpc-ju.europa.eu/ai-factories_en
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of lignin nanoparticles (LNPs). A deeper understanding of these processes will enable the design of innovative applications in drug delivery, nanocomposites, and other emerging technologies. Ultimately
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of infrastructure and trusted execution environments. More information is available at https://www.naiss.se The position As head of user support, you will be part of the NAISS (central) management team and
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of infrastructure and trusted execution environments. More information is available at https://www.naiss.se . The position As technical operations director you will be part of (the central) NAISS management team and
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of Communication Systems carries out research, undergraduate and postgraduate education. We conduct research and education in communications engineering, statistical signal processing, network science, and