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Field
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considered. The ideal candidate will have a background in immunology, tissue biology or cellular metabolism. Experience in working with animal models, cell isolations from tissues (lung, intestine), human
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into the GIS TE tool e.g. availability, accessibility, weather window and extreme wave and wind metocean conditions; creating new datasets and incorporating them into the GIS TE tool; and increasing the techno
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in a related field. Preferred Education and Experience Preferred Education and Experience 3–5 years of research experience in preclinical pain models or a related field Demonstrated ability to work
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the metastatic tumor microenvironment. Working Conditions: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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not limited to are impact of technology on traffic safety and operations. Experience in operation research and advanced statistical modeling will be preferred. Outstanding candidates with expertise in
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces. Evaluate optical
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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(RAG) models – are shaping professional expertise and practice across diverse Danish public sector domains, especially among frontline workers, including caseworkers, service providers and welfare