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Postdoctoral Associate Academic Job Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and
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modeling, extensive computer-driven experimental control and data-acquisition, and analysis of statistical and systematic errors. The successful candidate will know about a few of these things and want
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Vacancies Postdoc in Sustainable Circular Business Models and Finance in Hubs for Circularity Key takeaways The Challenge As process industries transition to circular models, companies within Hubs
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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into biological insight and predictive models. A strong motivation for interdisciplinary, data-driven research. Experience in molecular biology or biochemistry (desirable but not required). Contact Information
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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 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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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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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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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