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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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The National Center of Excellence for the Molecular Prediction of Inflammatory Bowel Disease, PREDICT, is looking to recruit a highly skilled and motivated PhD student in metabolomics and
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to plastic pollution and a circular plastic economy. Responsibilities and qualifications Your activities will revolve around the development of a framework to predict the degradability of bioplastics by
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employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant
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modelling, and prediction tools. Fouling Control Coatings Fouling Control is performed by specifically designed materials to remove or prevent biofouling from i.e. ship hulls, as bio fouling leads
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subsequent impose a risk for humans (One Health). The overall aim is to establish the scientific basis for predicting how interventions in antimicrobial usage in animal production influence the occurrence
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tools to predict the functional specificity of Carbohydrate Active Enzymes (CAZymes) and proteases. The overall goal is to enhance our understanding of seed carbohydrate content and composition, and to
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unpredictable operational conditions. The successful candidate will have a solid foundation in AI methods for predictive and/or proscriptive problems and will demonstrate the ability to use this background
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Job Description Are you excited about developing advanced models and algorithms to better understand and predict human decision-making? Are you interested in integrating behavioural models with
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building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy models, and reinforcement