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demands of both consumers and the food industry, plant proteins must exhibit high nutritional and functional quality, this includes optimal protein composition, a favorable amino acid profile, and
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include: Benchmark study: Compare and evaluate methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy
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methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy optimization model for hybrid and electrified
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position within a Research Infrastructure? No Offer Description Would you like to dive into exciting research in blue biotechnology? We are looking for a postdoc to join our team at the Department of Life
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In this position, you will work on developing and integrating advanced digital solutions within both educational systems (UPPRAISE) and industrial applications (MEDUSA and AIC³). As a postdoc, you will
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concept will showcase capabilities of an energy island to not only optimally supply its own energy demands and support the grids in normal conditions but also to securely and optimally supply its critical
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ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
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bioprocessing, as well as the development of high-throughput and pilot-scale production systems. We are now seeking a highly motivated Postdoc to drive a project focused on glycoengineering of antibodies
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methodologies for optimally allocating these services based on the characteristics, availability, and operating conditions of different energy resources The research will primarily focus on improving system
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experimental research focused on downstream processing and refinery technologies for fermentation-based or microbial biomasses. Optimize microbial protein flavor and functionality while ensuring economic