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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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2026 or as soon as possible thereafter. The position seeks to strengthen and complement the Department’s ongoing activities in freshwater ecology, particularly aquatic ecosystem modelling and water
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Job Description We are seeking an ambitious and dedicated researcher for a 2-year postdoctoral position in the field of microbial metabolism and experimental animal models for cardiometabolic
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, or a related field experience in mathematical modelling and scientific programming excellent written and spoken English communication skills As a formal qualification, you must hold a PhD degree (or
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developed. You should be highly qualified in: Thermodynamic theories and models for electrolyte solutions Mathematical modelling and computational algorithms Scientific dissemination As a formal qualification
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in