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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
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development, particularly in LabVIEW and C++ programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed dermal atomic force
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including planning of meetings to ensure fulfilment of milestones and deliverables. Furthermore, the tasks include work on optimizing one-dimensional and multidimensional chromatographic analytical workflows
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for industrial production focusing on Tenebrio and black soldier fly. The tasks will include: Establishing nutrient requirements for optimal production and resource utilization in insects produced at an industrial
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. We are building up capabilities in technology and policy impact assessment building onto our existing optimization models and tools with the aim of developing a comprehensive understanding for whole
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and trains the next generation of engineers. About the Section: The Systems Engineering and Optimization section within the department focuses on applying systems engineering principles to the design
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
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for this position, will be to establish and optimize new molecular biology techniques. In the beginning, you will have some guided routine tasks, but you will quickly be able to work more independently. You will be
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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM