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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
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. Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions. Develop optimization and control
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breed x system interactions. Including e.g. milk-based parameters according to other WPs, production system specific early prediction models for the control of endoparasites will be developed
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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exploration. The MULTISPIN project aims to advance this field by establishing predictive models and assessing the circuit-level behavior of MFTJ devices based on van der Waals (vdW) two-dimensional (2D
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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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signatures in communication and coordination data predict collective outcomes — such as group spacing changes, behavioural synchrony, and leadership transitions — beyond what pairwise models capture
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems