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analysis skills; advanced proficiency in Stata, R, or comparable statistical software; the ability to specify, evaluate, interpret, document, and justify statistical models; strong academic writing skills
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/or eating disorders, data analysis and statistical modeling. Prior experience working with Danish registers is an advantage. As a person, the ideal candidate will have good interpersonal skills, will
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faculty here . About the research project The research project will investigate the role of neuropeptide signals on developmental limbic circuit maturation using mouse models. The research project will
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At the Faculty of Engineering and Science, Department of Materials and Production, a post doc position is available from 01.10.2026 or soon hereafter. The duration of the position is one year. Are
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be included for completing this subproject within the period of employment. Lastly, the application must include a copy of the applicant’s PhD degree certificate or other documentation confirming
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vegetation ecology, plant community ecology or multi-taxon biodiversity analyses analysis of field, camera-trap, trait, citizen-science, spatial or remote-sensing data GIS, spatial modelling, remote sensing
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information Read more about our recruitment process here We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The appointment process at Aalborg
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling. Experience of Xray imaging is a bonus. Programming skills, for example Python or similar. Experience with operando