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and fluorescence techniques in the investigation of structure–reactivity relationships. Performing and analyzing electrocatalysis experiments using gaseous reagents and/or products. Analytical chemistry
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to network modelling, network theory and/or network meta-analyses. Fluency in programming as needed for network analyses (e.g., R/python) Strong analytical, organisational, and record-keeping skills
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Technology (OFT). As part of Aarhus Universities role in the project we are to bring about process understanding, development of the oil upgrading and handling strategies and development of analytical protocol
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) and cell culture Strong analytical, organizational, and documentation skills High level of motivation, creativity, and ability to work in a collaborative and multidisciplinary team Preferred
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research environment
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a focus on ecosystemic interventions and collaboration. Experience with literature reviews and qualitative methods. Ability to work independently, think analytically, and approach tasks systematically
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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functional genomics approaches and omics data analyses. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and organizational skills. Strong communication and collaborative
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considered an advantage if you have: been working on Arctic contaminants. been on field work in Greenland or other Arctic regions. experience with analytical instruments like ICP-MS, MC-ICP-MS and/or GC-IRMS