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Research Scientist for development of Digital Twins in food industry

Research Scientist for development of Digital Twins in food industry Artificial intelligence (AI) is an increasingly important topic in both science and Industry 4.0. Modern analysis methods such as spectroscopy, together with AI, can make a safety and quality assessment of food quick and easy and thus make an important contribution to transparency and sustainability in the food industry. The food object is described by a digital twin which is a representation of a physical object through data, multi-scale probabilistic simulations, and mathematical equations. A digital twin can be connected to the real world via physical sensors (e.g., temperature sensors) and enables predictions about the development of a physical object. By feeding sensory data into the digital twin the physical and the virtual world are bridged. Building a digital twin for a biological object is a challenging task which requires an interdisciplinary approach and knowledge in machine learning, statistical data analysis, bio-chemical processes, microbiology, experimental design, image processing, spectroscopy, mathematical modelling, uncertainty quantification, to name just a few.

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