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analysis, while other competence areas include e.g. causal inference, latent variable modelling and prediction models. The section aims to maintain a strong position in these areas but also wants to expand
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
These positions will play a key role in shaping the computational and experimental pillars of our closed-loop discovery platforms that integrates artificial intelligence, physics-based modelling
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for monitoring, predicting, and managing extreme rainfall and its impacts on urban drainage systems are required. Weather radar observations and nowcasting techniques have become essential for capturing
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artificial intelligence and machine learning for clinical decision-support systems and disease prediction modeling to join our research group. The successful candidate will develop and apply advanced AI
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Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for candidates for the following stipend: Learning the Structure and Dynamics of Complex Networks We
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controlled conditions. Your work will directly test model predictions and contribute to the realization of a sustainable battery prototype. Together, you will contribute to a tightly integrated modelling
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, sustainability assessments, etc. Research areas include: Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. Adopt theoretical research results (algorithmic developments
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, documentation, and simulations, sustainability assessments, etc. Research areas include: • Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. • Adopt theoretical
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UCPH’s innovation portfolio Operational ownership of lead generation targets (volume and quality) Development, implementation and optimisation of portfolio processes (e.g. stage-gate models) Cross-Team
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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