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Field
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capabilities. By combining complementary technologies and expertise, the Cluster supports advanced biological and biomedical research across multiple spatial scales. Appointments will be made on a 2 years
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data, including multi-level data (subject, tissue, single-cell) with or without spatial features. Analyse large-scale omics datasets, interpret results, and generate biological insights. Work closely
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other
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formation, stellar evolution all the way from dust to life, and the study of stellar environments and their planetary systems. We aim to develop a multi-scale, multi-disciplinary approach to answer
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using deposition systems for nanoscale multilayer coatings and industrial scale deposition systems based on High Power Impulse Magnetron Sputtering, conventional magnetron sputtering or low temperature
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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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timely achievement of project milestones. Key Responsibilities: Provide bioinformatics analyses for large scale multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
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, higher education administration, public policy, or related fields with director-level scope. Proven track record in strategic planning, multi-year program development, and scaling complex initiatives