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optimization is considered a strong advantage. Experience with Python scripting for data analysis is considered valuable. A strong commitment to research. Enthusiasm for working with research students
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experiments on the behavior of emerging contaminants in porous media Performing quantitative data analysis and interpretation of experimental results Working in close collaboration with modelling activities
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well as in quantitative analysis, preferably within either psychometrics and/or epidemiology. The candidate should have a strong and documented interest in the areas addiction research, clinical psychology
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The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position in practice-based
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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. • Quantitative analysis of aquaporin trafficking dynamics using advanced fluorescence microscopy and 3D image-based vesicle segmentation. • Molecular engineering of aquaporin constructs to dissect trafficking
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. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written