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methods in practice. This includes the ability to design, implement, and critically reflect on computational approaches such as machine learning models, large language models, and/or advanced data
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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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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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), and absolute sustainability concepts such as planetary boundaries, net-zero, and regenerative performance. Experience with quantitative environmental modelling, LCA, or related methods is an advantage
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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 infrastructure and lab facilities to conduct
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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Experience with multi-physics simulation, reliability and lifetime modelling is considered an advantage Knowledge of manufacturing and integration processes such as metallization, bonding, PCB fabrication
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental