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Field
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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in advanced robotics, AI-driven perception, and commercial horticulture to validate robotic harvesting under real production conditions. The Role At the University of Lincoln, our research focuses
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to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers. Topics of interest include data-driven modeling
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infrastructure where power electronics, AI-driven workloads, UPS systems, and grid dynamics interact across multiple timescales, creating new and poorly understood instability mechanisms. The successful candidate
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in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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at scale. By integrating AI-driven image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. You will be of a
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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second