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against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and other techniques to ensure
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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viral vectors, new food materials, improved food hygiene and enhanced human sensory experience. The Faculty of Science is looking for a researcher working in the intersection of computer science and drug
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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We study innate immunity to RNA viruses in humans and invertebrate models (including C. elegans), as well as host evolution and viral immune evasion strategies. Approaches · Virus-Host Interactions
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a