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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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using a novel 3D bioprinted human skin model to study tumour–microenvironment interactions. By combining tissue engineering and cancer biology, the project contributes to a deeper mechanistic
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, genomics, computational biology and animal models of disease. Using single cell multiomics, we recently discovered a latent regenerative potential in adult spinal cord stem cells and designed a targeted
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disease models (e.g., AD/PD) Ability to develop independent research directions Preference will be given to applicants who have obtained their PhD degree no more than three years prior to the application
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 8th January 2026
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the SmartWheat project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV