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these into marketable products and processes. The EU-funded “Eastern Lights” project will drive risk mitigation in large-scale carbon capture and storage (CCUS) in Eastern Europe. CO2 transport and underground storage
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of better prevention and public health policies in rural and remote areas. This position will contribute to the design of qualitative research components, coordinate qualitative data collection from rural
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design at all scales from large scale adaptive reuse to furniture design and fabrication. Students and faculty collaborate closely with faculty in the Department of Architecture as they share required and
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, epidemiologists, qualitative researchers, pharmacists, Aboriginal health practitioners, consumer representatives). As part of a large NHMRC study, the successful candidate will work with the project coordinators
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and sequencing Illumina and/or Nanopore sequencing libraries, or implementing and optimizing Ribo-Seq or ribosome profiling, or analyzing large-scale genomic data (e.g., entire genomes and
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about Central Europe in the 20th and 21th centuries – a condition Length of experience required significant international experience (at least 2 years of PhD studies or 2 years of research work experience
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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& Research (WUR) and outside our organization. Your qualities you have a MSc/PhD in analytical chemistry, organic chemistry, food chemistry or comparable specialization. Knowledge of instrumental analysis
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skills, and you excel at stakeholder engagement and relationship management across disciplines and cultures. You also bring: A PhD in Virology, Microbiology, Biotechnology, or a related field; Over 10
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to data-driven research projects focused on glaucoma, diabetes or nAMD using large-scale clinical and imaging datasets. Develop, validate, and implement machine learning models and statistical tools