454 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral research jobs in United Kingdom
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of lab ethnography. The life sciences are undergoing significant changes due to the increased use of big data, artificial intelligence and automation. With a focus on laboratory research in microbiology
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open positions For more information about the role, please contact QDOC Director Prof. Adam Foster adam.foster@aalto.fi and Finnish Quantum Flagship Manager Dr. Mahdi Moghaddam mahdi.moghaddam@aalto.fi
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clinical translation in head and neck health. FoDOCS integrates expertise across bioscience, biomedical and optical engineering, clinical practice, and data science, enabling seamless translation from
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invertebrate data to extant species. Results from model efforts will be used in formal Red List Assessments, in collaboration with the Marine Invertebrate Red List Authority at the Naturmuseum Senckenberg
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About the Role The principal duty of the post will be to undertake high-level lab-based work, developing the research program as outlined. The role includes data analysis and achieving a steady
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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collaborators, you will conduct analyses of the Swiss HIV Cohort Study (SHCS) data to identify and characterise underserved populations who could benefit from PrEP. You will use intersectional approaches
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auditing, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data