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to understand the needs, experiences and challenges of people with rare musculosleketal conditions. Conduct quantitative analysis on functional outcomes for descriptive and modelling purposes. Partner with
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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
ice, and its ability to absorb heat and CO2 from the atmosphere, is undergoing climate-related changes. It is not beyond the reach of human-induced changes to our planet. In recent decades
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models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. Lipid accumulation in microglia is a hallmark of neurodegenerative diseases such as
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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higher than the published system-wide salary at the designated experience, are offered when necessary to meet competitive conditions. Application Window Open date: July 1, 2025 Next review date: Thursday
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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biosolutions. The institute’s tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved
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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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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