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to advance our understanding of black holes, their environments, and their extragalactic jets.The successful candidate will work with Prof. Chael’s group to advance theoretical models and simulations of black
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influences in health and disease. Combining molecular biology with advanced in vitro systems, such as bacterial models, cell models, organoids, and organ-on-chip platforms, to understand disease mechanisms and
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monitoring and biodiversity research will be an advantage Broad interest in animal models – in terrestrial as well as aqueous ecosystems Competence in research and teaching within data analysis and modelling
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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also potentially within other bachelor’s and master’s programmes at the department. Teaching is based on Aalborg University’s Problem-Based Learning (PBL) model and includes: Lectures Case-based teaching
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research will be an advantage Broad interest in animal models – in terrestrial as well as aqueous ecosystems Competence in research and teaching within data analysis and modelling Candidates are not expected
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are encouraged to elaborate on your current and future research plans and on how you match the job description and the required qualifications. Curriculum Vitae. You are encouraged to declare any
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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
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, iClimate's members are spread across all Aarhus University locations, primarily in Aarhus, Viborg, and Roskilde. Research at iClimate spans from climate modelling, measurements, and monitoring to more solution
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on the Danish Sapere Aude TriOOL project and the Carlsberg Research Infrastructure project, which combines comparative embryo models, biochemical imaging, molecular analyses, and toxicological assessment