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Field
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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temporal reasoning ultrasound AI tools. Thus, the work will involve both computational methods research and collaborating with clinical domain experts to design and evaluate models in simulated and real
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biological properties of LATs, including particle size, degradation rate, and drug release profiles. You will build representational methods for APIs and excipients, apply Bayesian optimisation to experimental
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. We will develop a posteriori estimation tools to obtain error indicators that will guide mesh adaptation. These indicators must be specifically designed to account for the anisotropy of the field. Our
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-Computer Interaction, Information Science, Computer Science, Cognitive Science, Design, Sociology, Psychology, Education, or a related field Demonstrated expertise in mixed-methods research, including
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of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven methods for estimating
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25 Apr 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer
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employment. Individuals with expertise in relevant modeling methods are encouraged to apply, including but not limited to integrated assessment modeling, energy systems modeling, supply chain modeling, etc
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous